update on video of lecture

2021-10-14 15:13:04 +02:00
parent 74064aa123
commit 2a56548ec6
7 changed files with 120 additions and 47 deletions
@@ -350,6 +350,7 @@ MathJax.Hub.Config({

 <ul>
 <li> Thursday: Building our own Feed-forward Neural Network and discussion of project 2.</li>
+<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober14.mp4?vrtx=view-as-webpage" target="_self">Video of Lecture</a></li>
 <li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN).</li> 
 </ul>

@@ -163,6 +163,7 @@ MathJax.Hub.Config({

 <ul>
 <p><li> Thursday: Building our own Feed-forward Neural Network and discussion of project 2.</li>
+<p><li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober14.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture</a></li>
 <p><li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN).</li> 
 </ul>
 <p>
@@ -294,6 +294,7 @@ MathJax.Hub.Config({

 <ul>
 <li> Thursday: Building our own Feed-forward Neural Network and discussion of project 2.</li>
+<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober14.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture</a></li>
 <li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN).</li> 
 </ul>

@@ -299,6 +299,7 @@ MathJax.Hub.Config({

 <ul>
 <li> Thursday: Building our own Feed-forward Neural Network and discussion of project 2.</li>
+<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober14.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture</a></li>
 <li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN).</li> 
 </ul>

@@ -21,6 +21,8 @@
    "\n",
    "* Thursday: Building our own Feed-forward Neural Network and discussion of project 2.\n",
    "\n",
+    "* [Video of Lecture](https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober14.mp4?vrtx=view-as-webpage)\n",
+    "\n",
    "* Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN). \n",
    "\n",
    "Reading suggestions for both days: [Aurelien Geron's chapters 10-11](https://github.com/CompPhysics/MachineLearning/blob/master/doc/T\\\n",
@@ -497,7 +499,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
@@ -566,7 +571,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
@@ -688,7 +696,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "# building our neural network\n",
@@ -765,7 +776,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "# setup the feed-forward pass, subscript h = hidden layer\n",
@@ -930,7 +944,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "# to categorical turns our integer vector into a onehot representation\n",
@@ -1029,7 +1046,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "class NeuralNetwork:\n",
@@ -1151,7 +1171,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "epochs = 100\n",
@@ -1185,7 +1208,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "eta_vals = np.logspace(-5, 1, 7)\n",
@@ -1220,7 +1246,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "# visual representation of grid search\n",
@@ -1280,7 +1309,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "from sklearn.neural_network import MLPClassifier\n",
@@ -1311,7 +1343,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "# optional\n",
@@ -1431,7 +1466,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "\"\"\"\n",
@@ -1513,7 +1551,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "# import necessary packages\n",
@@ -1619,7 +1660,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "pip3 install tensorflow"
@@ -1636,7 +1680,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "conda create -n tf tensorflow\n",
@@ -1653,7 +1700,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "conda create -n tf-gpu tensorflow-gpu\n",
@@ -1674,7 +1724,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "conda install keras"
@@ -1696,7 +1749,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "# import necessary packages\n",
@@ -1747,7 +1803,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "from tensorflow.keras.layers import Input\n",
@@ -1772,7 +1831,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "\n",
@@ -1798,7 +1860,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "DNN_keras = np.zeros((len(eta_vals), len(lmbd_vals)), dtype=object)\n",
@@ -1821,7 +1886,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "# optional\n",
@@ -1867,7 +1935,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "\n",
@@ -2610,7 +2681,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "# import necessary packages\n",
@@ -2665,7 +2739,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "from tensorflow.keras import datasets, layers, models\n",
@@ -2703,7 +2780,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "def create_convolutional_neural_network_keras(input_shape, receptive_field,\n",
@@ -2744,7 +2824,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "CNN_keras = np.zeros((len(eta_vals), len(lmbd_vals)), dtype=object)\n",
@@ -2775,7 +2858,10 @@
  {
   "cell_type": "code",
   "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false,
+    "editable": true
+   },
   "outputs": [],
   "source": [
    "# visual representation of grid search\n",
@@ -2822,25 +2908,7 @@
   ]
  }
 ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.5"
-  }
- },
+ "metadata": {},
 "nbformat": 4,
 "nbformat_minor": 4
 }
@@ -7,6 +7,7 @@ DATE: today
 ===== Plan for week 41 =====

 * Thursday: Building our own Feed-forward Neural Network and discussion of project 2.
+* "Video of Lecture":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober14.mp4?vrtx=view-as-webpage"
 * Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Start convolutional Neural Networks (CNN). 

 Reading suggestions for both days: "Aurelien Geron's chapters 10-11":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/T\