diff --git a/doc/pub/week41/ipynb/ipynb-week41-src.tar.gz b/doc/pub/week41/ipynb/ipynb-week41-src.tar.gz index 4dbf8cb86..84fae8af5 100644 Binary files a/doc/pub/week41/ipynb/ipynb-week41-src.tar.gz and b/doc/pub/week41/ipynb/ipynb-week41-src.tar.gz differ diff --git a/doc/pub/week42/ipynb/week42.ipynb b/doc/pub/week42/ipynb/week42.ipynb index 50e06f04c..706bd1735 100644 --- a/doc/pub/week42/ipynb/week42.ipynb +++ b/doc/pub/week42/ipynb/week42.ipynb @@ -329,7 +329,11 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 20, +======= + "execution_count": 3, +>>>>>>> b91376cfb656cfe18ce0e2073a8e1380c098fe92 "metadata": {}, "outputs": [ { @@ -342,7 +346,11 @@ }, { "data": { +<<<<<<< HEAD "image/png": 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+======= + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAqwAAACRCAYAAAAGuepqAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAALD0lEQVR4nO3cX2jl6VkH8OdpZ6HWP3O6KCK2M6MVhfVicyMqVuYMCIIgCSwrgm0nIwq9cmaxvRFsMlIvxIvNiBd6tZmuYEULCegiiE4i2ypa2Az0ZkFK2rVYbGVPuq0itr5enAyGYf5kn985OW8ynw8EMnPy/J73l/Oc93zPLyfJ1loAAECv3rHoBQAAwKMIrAAAdE1gBQCgawIrAABdE1gBAOiawAoAQNfOfGDNzJ3M/LWTruV0MSccl1nhuMwKx2FOjufUBNbM3M/Mn1v0Oh4mpz6RmV/OzIPDIfrxRa/rSXMK5uSPMvMbRz7+OzPfWvS6nkRmheM6BbPyy5n5+uFzz79n5u3M/J5Fr+tJY07m69QE1lPg+Yj41Yj42Yh4OiL+ISJeXuiK6E5r7SOtte+69xERfxoRf77oddEfs8Lb8JmI+JnW2vmI+OGIOBcRn1jskujQqZ6TUx9YM/M9mfmXmfnVzHzz8PP33vdl78/Mf8rMr2fmdmY+faT+pzLzs5k5ycy7mTkuLuWHIuLV1toXWmvfjog/iYhnisdixjqak6Nr+s6IeC4ibg89FrNjVjiuXmaltfZGa+1rR/7r2xHxI5VjMXvmZDZOfWCN6Tm8FBEXI+JCRPxXRPzhfV/z4Zhe/fyBiPhWRPxBRERm/mBE/FVMX2E8HREfjYhPZ+b33d8kMy8cDsuFh6zjUzEduB/NzKci4mpE/PXAc2N2epmTo56LiK9GxN9XToi5MSscVzezkpkfyMyDiHgrpvOyMejMmCVzMgOnPrC21v6jtfbp1tp/ttbeiojfjYjL933Zy621z7fWvhkRvx0Rv5SZ74yID0bEK621V1pr/9ta+5uI+FxE/MID+nyptTZqrX3pIUv5t4h4NSJej+kwPh8RL8zkJBmsozk56mpEfLK11gadHDNlVjiunmaltfbq4Y963xsRvx8R+zM5SQYzJ7Nx6gNrZr47M/84M7+YmV+P6RWI0eEdfc8bRz7/YkQ8FRHfG9NXO88fviKZZOYkIj4Q01c4b9fHI+InIuJ9EfGuiLgZEX+Xme8uHIsZ62hO7q3nQkSMI+KT1WMwH2aF4+ptViIiWmtfjulP9z415DjMjjmZjXOLXsAM/GZE/FhE/GRr7SuZuRQRr0VEHvma9x35/EJE/E9EfC2mA/Jya+3XZ7COpYj4s9bavx7+ezMzN2L6PtbPzeD4DNPLnNzzoYj4TGvtCzM8JrNhVjiu3mblnnMR8f45HJcaczIDp+0K61OZ+a4jH+ci4rtj+iP4yeGblNceUPfBzHzm8Grn70TEXxz5xahfzMyfz8x3Hh5z/IA3Qx/HP8f0VdD3Z+Y7MvNDMX2F9C+lM2WInufkng9HxOaAembDrHBc3c5KZv7KvfctZubFmP7I+W+L58kw5mROTltgfSWmd/q9j/WYvmH4O2L6SuQf48G/6PRyTDf8r8T0x/W/ETH9jbmIWI6I34rpLzS8EREfiwd8X3L6ZuZv5MPfzPx7EXE3IvYiYhLT968+11qbvL1TZAZ6npPIzJ+O6fuH/ImixTMrHFfPs/JMRHw2M78Z0z9d9HpEzOOKHI9nTuYkvYcfAICenbYrrAAAPGEEVgAAuiawAgDQNYEVAICuPe7vsJ74b2Rtbm6W6tbX18s9R6NRqW5jY6Pcczwel2sHyMd/SdmJz8rOzk6prjpjERFbW1uluoODg3LPO3fulOoGzti8ZuXE52R7e7tUd/369Rmv5PGqMx0RcenSpZmt423obk/Z398vN6zu6UP2lOrecP78+XLPvb29Ut3AGetqT5lMJuWGi5iT6nqr93VEf3uKK6wAAHRNYAUAoGsCKwAAXRNYAQDomsAKAEDXBFYAALomsAIA0DWBFQCArgmsAAB0TWAFAKBrAisAAF0TWAEA6JrACgBA187N46A7Ozvl2mvXrpXqlpeXyz1Ho1GpbmVlpdxzMpmUa5m6ceNGqW7I9351dbVUd+vWrXLP6nyeJfv7++XaIY/Tk7a1tVWurT4ezppFfB9u375drr1z506pbsie4vln2Peg+jgdshdVe25ubpZ7rq+vl2vnwRVWAAC6JrACANA1gRUAgK4JrAAAdE1gBQCgawIrAABdE1gBAOiawAoAQNcEVgAAuiawAgDQNYEVAICuCawAAHRNYAUAoGsCKwAAXcvW2qNuf+SND3Pjxo3SYiIi9vf3S3VbW1vlnuPxuFQ3Go3KPYesd4Cc47FLszJEdVaG3G+7u7uluqtXr5Z7TiaTcu0A85qVE5+TjY2NUt3S0lK555UrV0p1ly9fLvfc2dkp1w5wpvaURag+X+7t7ZV7nrFZeSLmpJpThuxj1b1zoIfOiSusAAB0TWAFAKBrAisAAF0TWAEA6JrACgBA1wRWAAC6JrACANA1gRUAgK4JrAAAdE1gBQCgawIrAABdE1gBAOiawAoAQNfOzeOgly5dKtfu7++X6tbX18s9d3d3S3WvvfZauSfDTSaTUl11xiIi1tbWSnWj0ajcs7reIY/Ds2R1dbVUN2RPqaruRRH19S7iPPl/S0tLpbrNzc1yz+reOWQfO0uqe/LKyspM13EcGxsbJ95zXlxhBQCgawIrAABdE1gBAOiawAoAQNcEVgAAuiawAgDQNYEVAICuCawAAHRNYAUAoGsCKwAAXRNYAQDomsAKAEDXBFYAALomsAIA0LVsrT3q9kfeOA9LS0ulurt375Z7Xr16tVS3ublZ7rkgOcdjl2Zle3u73HBlZaVce5qsra2V6tbX14e0ndeslOZkb2+v3HA8HpfqDg4Oyj2rqntRRP3+vnTpUrlndLinPCmG3G/VvXNjY6PcMzrbU4ao7kfVvSiivh+99NJL5Z6rq6vl2gEeOieusAIA0DWBFQCArgmsAAB0TWAFAKBrAisAAF0TWAEA6JrACgBA1wRWAAC6JrACANA1gRUAgK4JrAAAdE1gBQCgawIrAABdy9bao25/5I3zsLS0dNItYzQaleqGrHVjY6NcO0DO8dilWdnZ2Sk33NraKtXt7e2Ve+7v7594z+p8DjSvWTnxObly5Uq5tmp5eblUV53pBepuT3lSjMfjE+855HEYne0pk8lkxst4vCF7efX+rj5nDa0d4KFz4gorAABdE1gBAOiawAoAQNcEVgAAuiawAgDQNYEVAICuCawAAHRNYAUAoGsCKwAAXRNYAQDomsAKAEDXBFYAALomsAIA0DWBFQCArp1b9ALuNxqNSnXj8bjcc319vVRXXeuievZoyP12cHBQqtvc3Cz3XFlZKdWdtfvtpA2Zk+vXr5fqbt26Ve557dq1ci2Ls729Xaq7ePFiuefe3t6J1kXUn3/Okt3d3XLt2tpaqe7mzZvlnqurq6W6IXvRZDIp1c3r+c4VVgAAuiawAgDQNYEVAICuCawAAHRNYAUAoGsCKwAAXRNYAQDomsAKAEDXBFYAALomsAIA0DWBFQCArgmsAAB0TWAFAKBr5xa9gPu98MILpbqVlZVyz5s3b5bqlpeXyz1Ho1G5lqk333yzVHdwcFDuubq6Wq7ldHn22WfLtUP2BhbnxRdfLNXt7u6We54/f75UN2Qvso9FXL58uVw7Ho9LddX5ioiYTCaluuvXr5d79pZTXGEFAKBrAisAAF0TWAEA6JrACgBA1wRWAAC6JrACANA1gRUAgK4JrAAAdE1gBQCgawIrAABdE1gBAOiawAoAQNcEVgAAuiawAgDQtWytLXoNAADwUK6wAgDQNYEVAICuCawAAHRNYAUAoGsCKwAAXRNYAQDo2v8BislliK2LsCUAAAAASUVORK5CYII=\n", +>>>>>>> b91376cfb656cfe18ce0e2073a8e1380c098fe92 "text/plain": [ "
" ] @@ -407,7 +415,11 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 21, +======= + "execution_count": 4, +>>>>>>> b91376cfb656cfe18ce0e2073a8e1380c098fe92 "metadata": {}, "outputs": [], "source": [ @@ -445,7 +457,11 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 22, +======= + "execution_count": null, +>>>>>>> b91376cfb656cfe18ce0e2073a8e1380c098fe92 "metadata": {}, "outputs": [], "source": [ @@ -486,7 +502,11 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 23, +======= + "execution_count": null, +>>>>>>> b91376cfb656cfe18ce0e2073a8e1380c098fe92 "metadata": {}, "outputs": [ { @@ -769,7 +789,11 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 25, +======= + "execution_count": null, +>>>>>>> b91376cfb656cfe18ce0e2073a8e1380c098fe92 "metadata": {}, "outputs": [ { @@ -950,13 +974,17 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 7, +======= + "execution_count": null, +>>>>>>> b91376cfb656cfe18ce0e2073a8e1380c098fe92 "metadata": {}, "outputs": [], "source": [ "import tensorflow as tf\n", "\n", - "from tensorflow.keras import datasets, layers, models\n", + "#from tensorflow.keras import datasets, layers, models\n", "import matplotlib.pyplot as plt\n", "\n", "# We import the data set\n", @@ -977,6 +1005,7 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 9, "metadata": {}, "outputs": [ @@ -985,6 +1014,27 @@ "image/png": 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\n", 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" +======= + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'train_images' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_17710/3303969810.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0myticks\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgrid\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrain_images\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcmap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbinary\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 11\u001b[0m \u001b[0;31m# The CIFAR labels happen to be arrays,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[0;31m# which is why you need the extra index\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mNameError\u001b[0m: name 'train_images' is not defined" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" +>>>>>>> b91376cfb656cfe18ce0e2073a8e1380c098fe92 ] }, "metadata": {}, @@ -1021,7 +1071,11 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 10, +======= + "execution_count": null, +>>>>>>> b91376cfb656cfe18ce0e2073a8e1380c098fe92 "metadata": {}, "outputs": [ { @@ -1084,7 +1138,11 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 12, +======= + "execution_count": null, +>>>>>>> b91376cfb656cfe18ce0e2073a8e1380c098fe92 "metadata": {}, "outputs": [ { @@ -1138,7 +1196,11 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 13, +======= + "execution_count": null, +>>>>>>> b91376cfb656cfe18ce0e2073a8e1380c098fe92 "metadata": {}, "outputs": [ { @@ -1186,7 +1248,11 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 14, +======= + "execution_count": null, +>>>>>>> b91376cfb656cfe18ce0e2073a8e1380c098fe92 "metadata": {}, "outputs": [ { @@ -1260,6 +1326,7 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 15, "metadata": {}, "outputs": [ @@ -1509,6 +1576,11 @@ "output_type": "display_data" } ], +======= + "execution_count": null, + "metadata": {}, + "outputs": [], +>>>>>>> b91376cfb656cfe18ce0e2073a8e1380c098fe92 "source": [ "# Start importing packages\n", "import pandas as pd\n", @@ -1594,7 +1666,11 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 16, +======= + "execution_count": null, +>>>>>>> b91376cfb656cfe18ce0e2073a8e1380c098fe92 "metadata": {}, "outputs": [], "source": [ @@ -1671,7 +1747,11 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 17, +======= + "execution_count": null, +>>>>>>> b91376cfb656cfe18ce0e2073a8e1380c098fe92 "metadata": {}, "outputs": [], "source": [ @@ -1758,6 +1838,7 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 18, "metadata": {}, "outputs": [ @@ -2132,6 +2213,11 @@ ] } ], +======= + "execution_count": null, + "metadata": {}, + "outputs": [], +>>>>>>> b91376cfb656cfe18ce0e2073a8e1380c098fe92 "source": [ "def test_rnn (x1, y_test, plot_min, plot_max):\n", " \"\"\"\n", @@ -2247,6 +2333,7 @@ }, { "cell_type": "code", +<<<<<<< HEAD "execution_count": 19, "metadata": {}, "outputs": [ @@ -2617,6 +2704,11 @@ ] } ], +======= + "execution_count": null, + "metadata": {}, + "outputs": [], +>>>>>>> b91376cfb656cfe18ce0e2073a8e1380c098fe92 "source": [ "def rnn_2layers(length_of_sequences, batch_size = None, stateful = False):\n", " \"\"\"\n", @@ -2730,418 +2822,9 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"model_2\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "input_3 (InputLayer) [(None, 2, 1)] 0 \n", - "_________________________________________________________________\n", - "dnn (Dense) (None, 2, 125) 250 \n", - "_________________________________________________________________\n", - "dnn1 (Dense) (None, 2, 125) 15750 \n", - "_________________________________________________________________\n", - "RNN1 (GRU) (None, 2, 250) 282750 \n", - "_________________________________________________________________\n", - "RNN (GRU) (None, 250) 376500 \n", - "_________________________________________________________________\n", - "dense (Dense) (None, 1) 251 \n", - "=================================================================\n", - "Total params: 675,501\n", - "Trainable params: 675,501\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "Train on 9 samples, validate on 1 samples\n", - "Epoch 1/150\n", - "9/9 [==============================] - 3s 335ms/sample - loss: 0.2450 - val_loss: 0.6009\n", - "Epoch 2/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 0.1844 - val_loss: 0.4407\n", - "Epoch 3/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 0.1280 - val_loss: 0.2754\n", - "Epoch 4/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 0.0726 - val_loss: 0.1180\n", - "Epoch 5/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0256 - val_loss: 0.0122\n", - "Epoch 6/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0062 - val_loss: 0.0182\n", - "Epoch 7/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 0.0340 - val_loss: 0.0463\n", - "Epoch 8/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0533 - val_loss: 0.0251\n", - "Epoch 9/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 0.0386 - val_loss: 0.0018\n", - "Epoch 10/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 0.0170 - val_loss: 0.0069\n", - "Epoch 11/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 0.0062 - val_loss: 0.0362\n", - "Epoch 12/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0074 - val_loss: 0.0714\n", - "Epoch 13/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0145 - val_loss: 0.0968\n", - "Epoch 14/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 0.0209 - val_loss: 0.1061\n", - "Epoch 15/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0236 - val_loss: 0.0993\n", - "Epoch 16/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0219 - val_loss: 0.0804\n", - "Epoch 17/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0171 - val_loss: 0.0552\n", - "Epoch 18/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0111 - val_loss: 0.0303\n", - "Epoch 19/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0061 - val_loss: 0.0114\n", - "Epoch 20/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0039 - val_loss: 0.0017\n", - "Epoch 21/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0048 - val_loss: 1.7121e-04\n", - "Epoch 22/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0077 - val_loss: 0.0021\n", - "Epoch 23/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0099 - val_loss: 0.0026\n", - "Epoch 24/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0096 - val_loss: 0.0010\n", - "Epoch 25/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0069 - val_loss: 7.4865e-06\n", - "Epoch 26/150\n", - "9/9 [==============================] - 0s 3ms/sample - loss: 0.0037 - val_loss: 0.0019\n", - "Epoch 27/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 0.0018 - val_loss: 0.0070\n", - "Epoch 28/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0017 - val_loss: 0.0131\n", - "Epoch 29/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0028 - val_loss: 0.0172\n", - "Epoch 30/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0039 - val_loss: 0.0176\n", - "Epoch 31/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0042 - val_loss: 0.0143\n", - "Epoch 32/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0035 - val_loss: 0.0088\n", - "Epoch 33/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0022 - val_loss: 0.0036\n", - "Epoch 34/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 8.5005e-04 - val_loss: 4.4203e-04\n", - "Epoch 35/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 1.9905e-04 - val_loss: 2.7989e-04\n", - "Epoch 36/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 4.0486e-04 - val_loss: 0.0022\n", - "Epoch 37/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0011 - val_loss: 0.0042\n", - "Epoch 38/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 0.0016 - val_loss: 0.0045\n", - "Epoch 39/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 0.0015 - val_loss: 0.0032\n", - "Epoch 40/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 9.0520e-04 - val_loss: 0.0013\n", - "Epoch 41/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 2.7366e-04 - val_loss: 1.8062e-04\n", - "Epoch 42/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 7.9785e-05 - val_loss: 5.6714e-05\n", - "Epoch 43/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 3.6778e-04 - val_loss: 4.3541e-04\n", - "Epoch 44/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 7.7541e-04 - val_loss: 6.0918e-04\n", - "Epoch 45/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 9.4925e-04 - val_loss: 3.9626e-04\n", - "Epoch 46/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 7.9547e-04 - val_loss: 6.2396e-05\n", - "Epoch 47/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 4.6406e-04 - val_loss: 7.4306e-05\n", - "Epoch 48/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 1.9191e-04 - val_loss: 6.7534e-04\n", - "Epoch 49/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 1.3472e-04 - val_loss: 0.0016\n", - "Epoch 50/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 2.6807e-04 - val_loss: 0.0024\n", - "Epoch 51/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 4.2605e-04 - val_loss: 0.0024\n", - "Epoch 52/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 4.5007e-04 - val_loss: 0.0018\n", - "Epoch 53/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 3.1897e-04 - val_loss: 8.9950e-04\n", - "Epoch 54/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 1.4287e-04 - val_loss: 2.3903e-04\n", - "Epoch 55/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 4.7967e-05 - val_loss: 3.1655e-06\n", - "Epoch 56/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 7.3665e-05 - val_loss: 7.2757e-05\n", - "Epoch 57/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 1.6136e-04 - val_loss: 1.9493e-04\n", - "Epoch 58/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 2.2035e-04 - val_loss: 1.9998e-04\n", - "Epoch 59/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 2.0127e-04 - val_loss: 9.4887e-05\n", - "Epoch 60/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 1.2360e-04 - val_loss: 5.1504e-06\n", - "Epoch 61/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 4.9139e-05 - val_loss: 3.8941e-05\n", - "Epoch 62/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 2.8798e-05 - val_loss: 1.8634e-04\n", - "Epoch 63/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 6.4377e-05 - val_loss: 3.3108e-04\n", - "Epoch 64/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 1.1325e-04 - val_loss: 3.5745e-04\n", - "Epoch 65/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 1.2908e-04 - val_loss: 2.5042e-04\n", - "Epoch 66/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 1.0075e-04 - val_loss: 9.8608e-05\n", - "Epoch 67/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 5.6099e-05 - val_loss: 7.8389e-06\n", - "Epoch 68/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 3.1440e-05 - val_loss: 1.4748e-05\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 69/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 4.0217e-05 - val_loss: 7.2811e-05\n", - "Epoch 70/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 6.5820e-05 - val_loss: 1.0793e-04\n", - "Epoch 71/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 8.0192e-05 - val_loss: 8.5110e-05\n", - "Epoch 72/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 6.9576e-05 - val_loss: 3.0754e-05\n", - "Epoch 73/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 4.3596e-05 - val_loss: 1.5006e-07\n", - "Epoch 74/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 2.3801e-05 - val_loss: 2.4427e-05\n", - "Epoch 75/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 2.2519e-05 - val_loss: 8.4345e-05\n", - "Epoch 76/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 3.4223e-05 - val_loss: 1.3076e-04\n", - "Epoch 77/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 4.3072e-05 - val_loss: 1.2920e-04\n", - "Epoch 78/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 3.8694e-05 - val_loss: 8.6107e-05\n", - "Epoch 79/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 2.4764e-05 - val_loss: 3.5628e-05\n", - "Epoch 80/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 1.3666e-05 - val_loss: 6.0901e-06\n", - "Epoch 81/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 1.3351e-05 - val_loss: 6.5202e-08\n", - "Epoch 82/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 2.0531e-05 - val_loss: 2.3852e-06\n", - "Epoch 83/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 2.5462e-05 - val_loss: 1.4359e-06\n", - "Epoch 84/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 2.2309e-05 - val_loss: 2.7095e-07\n", - "Epoch 85/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 1.3926e-05 - val_loss: 8.9544e-06\n", - "Epoch 86/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 8.1545e-06 - val_loss: 2.9798e-05\n", - "Epoch 87/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 7.9122e-06 - val_loss: 5.1986e-05\n", - "Epoch 88/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 1.1202e-05 - val_loss: 6.0481e-05\n", - "Epoch 89/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 1.3116e-05 - val_loss: 4.9656e-05\n", - "Epoch 90/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 1.1011e-05 - val_loss: 2.7833e-05\n", - "Epoch 91/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 6.6973e-06 - val_loss: 8.9163e-06\n", - "Epoch 92/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 4.0061e-06 - val_loss: 6.4231e-07\n", - "Epoch 93/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 4.6626e-06 - val_loss: 5.3801e-07\n", - "Epoch 94/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 6.8445e-06 - val_loss: 1.6904e-06\n", - "Epoch 95/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 7.5918e-06 - val_loss: 7.6062e-07\n", - "Epoch 96/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 5.9006e-06 - val_loss: 9.0495e-08\n", - "Epoch 97/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 3.3952e-06 - val_loss: 3.1808e-06\n", - "Epoch 98/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 2.2665e-06 - val_loss: 9.5475e-06\n", - "Epoch 99/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 2.9746e-06 - val_loss: 1.4636e-05\n", - "Epoch 100/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 4.0707e-06 - val_loss: 1.4411e-05\n", - "Epoch 101/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 3.9976e-06 - val_loss: 9.2965e-06\n", - "Epoch 102/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 2.7187e-06 - val_loss: 3.3834e-06\n", - "Epoch 103/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 1.4985e-06 - val_loss: 2.8700e-07\n", - "Epoch 104/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 1.3560e-06 - val_loss: 2.5170e-07\n", - "Epoch 105/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 2.0148e-06 - val_loss: 1.0536e-06\n", - "Epoch 106/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 2.4210e-06 - val_loss: 9.4288e-07\n", - "Epoch 107/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 2.0210e-06 - val_loss: 2.0043e-07\n", - "Epoch 108/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 1.2760e-06 - val_loss: 9.3241e-08\n", - "Epoch 109/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 9.1140e-07 - val_loss: 1.0255e-06\n", - "Epoch 110/150\n", - "9/9 [==============================] - 0s 3ms/sample - loss: 1.1163e-06 - val_loss: 2.0734e-06\n", - "Epoch 111/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 1.5079e-06 - val_loss: 2.1360e-06\n", - "Epoch 112/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 1.5815e-06 - val_loss: 1.1905e-06\n", - "Epoch 113/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 1.2618e-06 - val_loss: 2.1615e-07\n", - "Epoch 114/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 9.0721e-07 - val_loss: 4.4045e-08\n", - "Epoch 115/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 8.5203e-07 - val_loss: 5.2731e-07\n", - "Epoch 116/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 1.0535e-06 - val_loss: 8.8510e-07\n", - "Epoch 117/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 1.2045e-06 - val_loss: 6.6195e-07\n", - "Epoch 118/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 1.1108e-06 - val_loss: 1.7027e-07\n", - "Epoch 119/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 8.8165e-07 - val_loss: 1.3454e-08\n", - "Epoch 120/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 7.5757e-07 - val_loss: 3.5848e-07\n", - "Epoch 121/150\n", - "9/9 [==============================] - 0s 2ms/sample - loss: 8.2259e-07 - val_loss: 7.9404e-07\n", - "Epoch 122/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 9.3780e-07 - val_loss: 8.4859e-07\n", - "Epoch 123/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 9.3325e-07 - val_loss: 4.9981e-07\n", - "Epoch 124/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 8.0209e-07 - val_loss: 1.1783e-07\n", - "Epoch 125/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 6.8127e-07 - val_loss: 1.2367e-09\n", - "Epoch 126/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 6.7296e-07 - val_loss: 9.0101e-08\n", - "Epoch 127/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 7.3688e-07 - val_loss: 1.3718e-07\n", - "Epoch 128/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 7.6058e-07 - val_loss: 5.4509e-08\n", - "Epoch 129/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 6.9898e-07 - val_loss: 3.0727e-09\n", - "Epoch 130/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 6.1337e-07 - val_loss: 1.5863e-07\n", - "Epoch 131/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 5.8245e-07 - val_loss: 4.7443e-07\n", - "Epoch 132/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 6.0891e-07 - val_loss: 7.1950e-07\n", - "Epoch 133/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 6.3010e-07 - val_loss: 7.2092e-07\n", - "Epoch 134/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 6.0220e-07 - val_loss: 5.1706e-07\n", - "Epoch 135/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 5.4799e-07 - val_loss: 2.7801e-07\n", - "Epoch 136/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 5.1885e-07 - val_loss: 1.2662e-07\n", - "Epoch 137/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 5.2879e-07 - val_loss: 7.3679e-08\n", - "Epoch 138/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 5.4436e-07 - val_loss: 9.2370e-08\n", - "Epoch 139/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 5.3233e-07 - val_loss: 1.9250e-07\n", - "Epoch 140/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 4.9874e-07 - val_loss: 3.9243e-07\n", - "Epoch 141/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 4.7515e-07 - val_loss: 6.4432e-07\n", - "Epoch 142/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 4.7633e-07 - val_loss: 8.3209e-07\n", - "Epoch 143/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 4.8560e-07 - val_loss: 8.5983e-07\n", - "Epoch 144/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 4.8017e-07 - val_loss: 7.3240e-07\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 145/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 4.5959e-07 - val_loss: 5.4099e-07\n", - "Epoch 146/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 4.4210e-07 - val_loss: 3.8153e-07\n", - "Epoch 147/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 4.3915e-07 - val_loss: 3.0024e-07\n", - "Epoch 148/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 4.4251e-07 - val_loss: 3.0372e-07\n", - "Epoch 149/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 4.3802e-07 - val_loss: 3.8797e-07\n", - "Epoch 150/150\n", - "9/9 [==============================] - 0s 1ms/sample - loss: 4.2399e-07 - val_loss: 5.3906e-07\n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Time: 6.279334420338273\n", - "Model: \"model_3\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "input_4 (InputLayer) [(None, 1, 1)] 0 \n", - "_________________________________________________________________\n", - "RNN (SimpleRNN) (None, 200) 40400 \n", - "_________________________________________________________________\n", - "dense (Dense) (None, 1) 201 \n", - "=================================================================\n", - "Total params: 40,601\n", - "Trainable params: 40,601\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - }, - { - "ename": "ValueError", - "evalue": "Error when checking input: expected input_4 to have 3 dimensions, but got array with shape (12, 1)", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 155\u001b[0m \u001b[0;31m# validation split. Setting verbose to True prints information about each training iteration.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 156\u001b[0m hist = model.fit(X_train, y_train, batch_size=None, epochs=150, \n\u001b[0;32m--> 157\u001b[0;31m verbose=True,validation_split=0.05)\n\u001b[0m\u001b[1;32m 158\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 159\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/training.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, max_queue_size, workers, use_multiprocessing, **kwargs)\u001b[0m\n\u001b[1;32m 817\u001b[0m \u001b[0mmax_queue_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmax_queue_size\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 818\u001b[0m \u001b[0mworkers\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mworkers\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 819\u001b[0;31m use_multiprocessing=use_multiprocessing)\n\u001b[0m\u001b[1;32m 820\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 821\u001b[0m def evaluate(self,\n", - "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/training_v2.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, model, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, max_queue_size, workers, use_multiprocessing, **kwargs)\u001b[0m\n\u001b[1;32m 233\u001b[0m \u001b[0mmax_queue_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmax_queue_size\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 234\u001b[0m \u001b[0mworkers\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mworkers\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 235\u001b[0;31m use_multiprocessing=use_multiprocessing)\n\u001b[0m\u001b[1;32m 236\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 237\u001b[0m \u001b[0mtotal_samples\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_get_total_number_of_samples\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtraining_data_adapter\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/training_v2.py\u001b[0m in \u001b[0;36m_process_training_inputs\u001b[0;34m(model, x, y, batch_size, epochs, sample_weights, class_weights, steps_per_epoch, validation_split, validation_data, validation_steps, shuffle, distribution_strategy, max_queue_size, workers, use_multiprocessing)\u001b[0m\n\u001b[1;32m 550\u001b[0m \u001b[0mbatch_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbatch_size\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 551\u001b[0m \u001b[0mcheck_steps\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 552\u001b[0;31m steps=steps_per_epoch)\n\u001b[0m\u001b[1;32m 553\u001b[0m (x, y, sample_weights,\n\u001b[1;32m 554\u001b[0m \u001b[0mval_x\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mval_y\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/training.py\u001b[0m in \u001b[0;36m_standardize_user_data\u001b[0;34m(self, x, y, sample_weight, class_weight, batch_size, check_steps, steps_name, steps, validation_split, shuffle, extract_tensors_from_dataset)\u001b[0m\n\u001b[1;32m 2381\u001b[0m \u001b[0mis_dataset\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mis_dataset\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2382\u001b[0m \u001b[0mclass_weight\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mclass_weight\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2383\u001b[0;31m batch_size=batch_size)\n\u001b[0m\u001b[1;32m 2384\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2385\u001b[0m def _standardize_tensors(self, x, y, sample_weight, run_eagerly, dict_inputs,\n", - "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/training.py\u001b[0m in \u001b[0;36m_standardize_tensors\u001b[0;34m(self, x, y, sample_weight, run_eagerly, dict_inputs, is_dataset, class_weight, batch_size)\u001b[0m\n\u001b[1;32m 2408\u001b[0m \u001b[0mfeed_input_shapes\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2409\u001b[0m \u001b[0mcheck_batch_axis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;31m# Don't enforce the batch size.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2410\u001b[0;31m exception_prefix='input')\n\u001b[0m\u001b[1;32m 2411\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2412\u001b[0m \u001b[0;31m# Get typespecs for the input data and sanitize it if necessary.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/training_utils.py\u001b[0m in \u001b[0;36mstandardize_input_data\u001b[0;34m(data, names, shapes, check_batch_axis, exception_prefix)\u001b[0m\n\u001b[1;32m 571\u001b[0m \u001b[0;34m': expected '\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mnames\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m' to have '\u001b[0m \u001b[0;34m+\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 572\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m' dimensions, but got array '\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 573\u001b[0;31m 'with shape ' + str(data_shape))\n\u001b[0m\u001b[1;32m 574\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mcheck_batch_axis\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 575\u001b[0m \u001b[0mdata_shape\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata_shape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mValueError\u001b[0m: Error when checking input: expected input_4 to have 3 dimensions, but got array with shape (12, 1)" - ] - } - ], + "outputs": [], "source": [ "def lstm_2layers(length_of_sequences, batch_size = None, stateful = False):\n", " \"\"\"\n", @@ -3345,7 +3028,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -3359,7 +3042,11 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", +<<<<<<< HEAD "version": "3.8.3" +======= + "version": "3.8.12" +>>>>>>> b91376cfb656cfe18ce0e2073a8e1380c098fe92 } }, "nbformat": 4, diff --git a/doc/src/week41/programs/breast.py b/doc/src/week41/programs/breast.py new file mode 100644 index 000000000..9dd2ada6f --- /dev/null +++ b/doc/src/week41/programs/breast.py @@ -0,0 +1,161 @@ +import tensorflow as tf +from tensorflow.keras.layers import Input +from tensorflow.keras.models import Sequential #This allows appending layers to existing models +from tensorflow.keras.layers import Dense #This allows defining the characteristics of a particular layer +from tensorflow.keras import optimizers #This allows using whichever optimiser we want (sgd,adam,RMSprop) +from tensorflow.keras import regularizers #This allows using whichever regularizer we want (l1,l2,l1_l2) +from tensorflow.keras.utils import to_categorical #This allows using categorical cross entropy as the cost function +import numpy as np +import matplotlib.pyplot as plt +import seaborn as sns +from sklearn.model_selection import train_test_split as splitter +from sklearn.datasets import load_breast_cancer +import pickle + + +np.random.seed(0) #create same seed for random number every time + +cancer=load_breast_cancer() #Download breast cancer dataset + +inputs=cancer.data #Feature matrix of 569 rows (samples) and 30 columns (parameters) +outputs=cancer.target #Label array of 569 rows (0 for benign and 1 for malignant) +labels=cancer.feature_names[0:30] + +print('The content of the breast cancer dataset is:') #Print information about the datasets +print(labels) +print('-------------------------') +print("inputs = " + str(inputs.shape)) +print("outputs = " + str(outputs.shape)) +print("labels = "+ str(labels.shape)) + +x=inputs #Reassign the Feature and Label matrices to other variables +y=outputs + +# Visualisation of dataset (for correlation analysis) + +plt.figure() +plt.scatter(x[:,0],x[:,2],s=40,c=y,cmap=plt.cm.Spectral) +plt.xlabel('Mean radius',fontweight='bold') +plt.ylabel('Mean perimeter',fontweight='bold') +plt.show() + +plt.figure() +plt.scatter(x[:,5],x[:,6],s=40,c=y, cmap=plt.cm.Spectral) +plt.xlabel('Mean compactness',fontweight='bold') +plt.ylabel('Mean concavity',fontweight='bold') +plt.show() + + +plt.figure() +plt.scatter(x[:,0],x[:,1],s=40,c=y,cmap=plt.cm.Spectral) +plt.xlabel('Mean radius',fontweight='bold') +plt.ylabel('Mean texture',fontweight='bold') +plt.show() + +plt.figure() +plt.scatter(x[:,2],x[:,1],s=40,c=y,cmap=plt.cm.Spectral) +plt.xlabel('Mean perimeter',fontweight='bold') +plt.ylabel('Mean compactness',fontweight='bold') +plt.show() + + +# Generate training and testing datasets + +#Select features relevant to classification (texture,perimeter,compactness and symmetery) +#and add to input matrix + +temp1=np.reshape(x[:,1],(len(x[:,1]),1)) +temp2=np.reshape(x[:,2],(len(x[:,2]),1)) +X=np.hstack((temp1,temp2)) +temp=np.reshape(x[:,5],(len(x[:,5]),1)) +X=np.hstack((X,temp)) +temp=np.reshape(x[:,8],(len(x[:,8]),1)) +X=np.hstack((X,temp)) + +X_train,X_test,y_train,y_test=splitter(X,y,test_size=0.1) #Split datasets into training and testing + +y_train=to_categorical(y_train) #Convert labels to categorical when using categorical cross entropy +y_test=to_categorical(y_test) + +del temp1,temp2,temp + +# Define tunable parameters" + +eta=np.logspace(-3,-1,3) #Define vector of learning rates (parameter to SGD optimiser) +lamda=0.01 #Define hyperparameter +n_layers=2 #Define number of hidden layers in the model +n_neuron=np.logspace(0,3,4,dtype=int) #Define number of neurons per layer +epochs=100 #Number of reiterations over the input data +batch_size=100 #Number of samples per gradient update + +"""Define function to return Deep Neural Network model""" + +def NN_model(inputsize,n_layers,n_neuron,eta,lamda): + model=Sequential() + for i in range(n_layers): #Run loop to add hidden layers to the model + if (i==0): #First layer requires input dimensions + model.add(Dense(n_neuron,activation='relu',kernel_regularizer=regularizers.l2(lamda),input_dim=inputsize)) + else: #Subsequent layers are capable of automatic shape inferencing + model.add(Dense(n_neuron,activation='relu',kernel_regularizer=regularizers.l2(lamda))) + model.add(Dense(2,activation='softmax')) #2 outputs - ordered and disordered (softmax for prob) + sgd=optimizers.SGD(lr=eta) + model.compile(loss='categorical_crossentropy',optimizer=sgd,metrics=['accuracy']) + return model + + +Train_accuracy=np.zeros((len(n_neuron),len(eta))) #Define matrices to store accuracy scores as a function +Test_accuracy=np.zeros((len(n_neuron),len(eta))) #of learning rate and number of hidden neurons for + +for i in range(len(n_neuron)): #run loops over hidden neurons and learning rates to calculate + for j in range(len(eta)): #accuracy scores + DNN_model=NN_model(X_train.shape[1],n_layers,n_neuron[i],eta[j],lamda) + DNN_model.fit(X_train,y_train,epochs=epochs,batch_size=batch_size,verbose=1) + Train_accuracy[i,j]=DNN_model.evaluate(X_train,y_train)[1] + Test_accuracy[i,j]=DNN_model.evaluate(X_test,y_test)[1] + + +def plot_data(x,y,data,title=None): + + # plot results + fontsize=16 + + + fig = plt.figure() + ax = fig.add_subplot(111) + cax = ax.matshow(data, interpolation='nearest', vmin=0, vmax=1) + + cbar=fig.colorbar(cax) + cbar.ax.set_ylabel('accuracy (%)',rotation=90,fontsize=fontsize) + cbar.set_ticks([0,.2,.4,0.6,0.8,1.0]) + cbar.set_ticklabels(['0%','20%','40%','60%','80%','100%']) + + # put text on matrix elements + for i, x_val in enumerate(np.arange(len(x))): + for j, y_val in enumerate(np.arange(len(y))): + c = "${0:.1f}\\%$".format( 100*data[j,i]) + ax.text(x_val, y_val, c, va='center', ha='center') + + # convert axis vaues to to string labels + x=[str(i) for i in x] + y=[str(i) for i in y] + + + ax.set_xticklabels(['']+x) + ax.set_yticklabels(['']+y) + + ax.set_xlabel('$\\mathrm{learning\\ rate}$',fontsize=fontsize) + ax.set_ylabel('$\\mathrm{hidden\\ neurons}$',fontsize=fontsize) + if title is not None: + ax.set_title(title) + + plt.tight_layout() + + plt.show() + +plot_data(eta,n_neuron,Train_accuracy, 'training') +plot_data(eta,n_neuron,Test_accuracy, 'testing') + + + + + diff --git a/doc/src/week41/programs/test.py b/doc/src/week41/programs/test.py new file mode 100644 index 000000000..24fbfd2a2 --- /dev/null +++ b/doc/src/week41/programs/test.py @@ -0,0 +1,138 @@ +# import necessary packages +import numpy as np +import matplotlib.pyplot as plt +from sklearn import datasets + + +# ensure the same random numbers appear every time +np.random.seed(0) + + +plt.rcParams['figure.figsize'] = (12,12) + + +# download MNIST dataset +digits = datasets.load_digits() + +# define inputs and labels +inputs = digits.images +labels = digits.target + +# RGB images have a depth of 3 +# our images are grayscale so they should have a depth of 1 +inputs = inputs[:,:,:,np.newaxis] + +print("inputs = (n_inputs, pixel_width, pixel_height, depth) = " + str(inputs.shape)) +print("labels = (n_inputs) = " + str(labels.shape)) + + +# choose some random images to display +n_inputs = len(inputs) +indices = np.arange(n_inputs) +random_indices = np.random.choice(indices, size=5) + +for i, image in enumerate(digits.images[random_indices]): + plt.subplot(1, 5, i+1) + plt.axis('off') + plt.imshow(image, cmap=plt.cm.gray_r, interpolation='nearest') + plt.title("Label: %d" % digits.target[random_indices[i]]) +plt.show() + +from tensorflow.keras import datasets, layers, models +from tensorflow.keras.layers import Input +from tensorflow.keras.models import Sequential #This allows appending layers to existing models +from tensorflow.keras.layers import Dense #This allows defining the characteristics of a particular layer +from tensorflow.keras import optimizers #This allows using whichever optimiser we want (sgd,adam,RMSprop) +from tensorflow.keras import regularizers #This allows using whichever regularizer we want (l1,l2,l1_l2) +from tensorflow.keras.utils import to_categorical #This allows using categorical cross entropy as the cost function +#from tensorflow.keras import Conv2D +#from tensorflow.keras import MaxPooling2D +#from tensorflow.keras import Flatten + +from sklearn.model_selection import train_test_split + +# representation of labels +labels = to_categorical(labels) + +# split into train and test data +# one-liner from scikit-learn library +train_size = 0.8 +test_size = 1 - train_size +X_train, X_test, Y_train, Y_test = train_test_split(inputs, labels, train_size=train_size, + test_size=test_size) + +def create_convolutional_neural_network_keras(input_shape, receptive_field, + n_filters, n_neurons_connected, n_categories, + eta, lmbd): + model = Sequential() + model.add(layers.Conv2D(n_filters, (receptive_field, receptive_field), input_shape=input_shape, padding='same', + activation='relu', kernel_regularizer=regularizers.l2(lmbd))) + model.add(layers.MaxPooling2D(pool_size=(2, 2))) + model.add(layers.Flatten()) + model.add(layers.Dense(n_neurons_connected, activation='relu', kernel_regularizer=regularizers.l2(lmbd))) + model.add(layers.Dense(n_categories, activation='softmax', kernel_regularizer=regularizers.l2(lmbd))) + + sgd = optimizers.SGD(lr=eta) + model.compile(loss='categorical_crossentropy', optimizer=sgd, metrics=['accuracy']) + + return model + +epochs = 100 +batch_size = 100 +input_shape = X_train.shape[1:4] +receptive_field = 3 +n_filters = 10 +n_neurons_connected = 50 +n_categories = 10 + +eta_vals = np.logspace(-5, 1, 7) +lmbd_vals = np.logspace(-5, 1, 7) + +CNN_keras = np.zeros((len(eta_vals), len(lmbd_vals)), dtype=object) + +for i, eta in enumerate(eta_vals): + for j, lmbd in enumerate(lmbd_vals): + CNN = create_convolutional_neural_network_keras(input_shape, receptive_field, + n_filters, n_neurons_connected, n_categories, + eta, lmbd) + CNN.fit(X_train, Y_train, epochs=epochs, batch_size=batch_size, verbose=0) + scores = CNN.evaluate(X_test, Y_test) + + CNN_keras[i][j] = CNN + + print("Learning rate = ", eta) + print("Lambda = ", lmbd) + print("Test accuracy: %.3f" % scores[1]) + print() + +# visual representation of grid search +# uses seaborn heatmap, could probably do this in matplotlib +import seaborn as sns + +sns.set() + +train_accuracy = np.zeros((len(eta_vals), len(lmbd_vals))) +test_accuracy = np.zeros((len(eta_vals), len(lmbd_vals))) + +for i in range(len(eta_vals)): + for j in range(len(lmbd_vals)): + CNN = CNN_keras[i][j] + + train_accuracy[i][j] = CNN.evaluate(X_train, Y_train)[1] + test_accuracy[i][j] = CNN.evaluate(X_test, Y_test)[1] + + +fig, ax = plt.subplots(figsize = (10, 10)) +sns.heatmap(train_accuracy, annot=True, ax=ax, cmap="viridis") +ax.set_title("Training Accuracy") +ax.set_ylabel("$\eta$") +ax.set_xlabel("$\lambda$") +plt.show() + +fig, ax = plt.subplots(figsize = (10, 10)) +sns.heatmap(test_accuracy, annot=True, ax=ax, cmap="viridis") +ax.set_title("Test Accuracy") +ax.set_ylabel("$\eta$") +ax.set_xlabel("$\lambda$") +plt.show() + diff --git a/doc/src/week41/week41.do.txt b/doc/src/week41/week41.do.txt index 64edc3703..a013e6005 100644 --- a/doc/src/week41/week41.do.txt +++ b/doc/src/week41/week41.do.txt @@ -1654,6 +1654,19 @@ plot_data(eta,n_neuron,Test_accuracy, 'testing') !ec +!split +===== The Mathematics of Neural Networks ===== + +Text will be added here, see handwritten notes for Friday October 15. They contain a discussion on +o Activation functions and vanishing gradients +o Brief summary of gradient methods +o Approximation theorems, in particular the *universal approximation theorem* for neural networks by Cybenko and Hornik + +I strongly recommend Michael Nielsen's intuitive approach to the neural networks and the universal approximation theorem, see the slides at URL:"http://neuralnetworksanddeeplearning.com/chap4.html". + + + + !split ===== Fine-tuning neural network hyperparameters =====