jupyter files

2018-05-06 22:19:59 -04:00
parent c497ee89f2
commit 11d2a0f8fc
38 changed files with 9017 additions and 0 deletions
@@ -0,0 +1,84 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Output after training:  [[  6.55109972e-03   9.93684857e-01   9.93925710e-01   6.62304973e-03]\n",
+      " [  1.71082162e-03   9.97516440e-01   9.97766376e-01   1.82685927e-03]\n",
+      " [  2.05800960e-03   9.98268211e-01   9.97548919e-01   1.77362990e-03]\n",
+      " [  5.35659849e-04   9.99320839e-01   9.99100767e-01   4.87503198e-04]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "#sigmoid\n",
+    "def nonlin(x, deriv=False):\n",
+    "    if (deriv==True):\n",
+    "        return x*(1-x)\n",
+    "    return 1/(1+np.exp(-x))\n",
+    "\n",
+    "#input data\n",
+    "x=np.array([[0,0,1],[0,1,1],[1,0,1],[1,1,1]])\n",
+    "\n",
+    "#output data\n",
+    "y=np.array([0,1,1,0]).T\n",
+    "\n",
+    "#seed random numbers to make calculation\n",
+    "np.random.seed(1)\n",
+    "\n",
+    "#initialize weights with mean=0\n",
+    "syn0=2*np.random.random((3,4))-1\n",
+    "\n",
+    "for iter in range(10000):\n",
+    "    #forward propogation\n",
+    "    l0=x\n",
+    "    l1=nonlin(np.dot(l0,syn0))\n",
+    "    l1_error=y-l1\n",
+    "    #multiply error by slope of sigmoid at values of l1\n",
+    "    l1_delta=l1_error*nonlin(l1,True)\n",
+    "    #update weights\n",
+    "    syn0+=np.dot(l0.T, l1_delta)\n",
+    "    \n",
+    "print(\"Output after training: \",l1 )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "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": "3.6.3"
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+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}