Training LeNet

Author: darienmt

LeNet-Lab.ipynb

@@ -28,7 +28,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -90,7 +90,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -132,7 +132,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -143,14 +143,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "1\n"
+      "8\n"
      ]
     },
     {
      "data": {
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+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAFsAAABZCAYAAABR/liSAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrQIwi2MUAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x10d83ec18>"
+       "<matplotlib.figure.Figure at 0x7f746ceead30>"
       ]
      },
      "metadata": {},
@@ -187,7 +187,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -215,7 +215,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "metadata": {
     "collapsed": true,
     "deletable": true,
@@ -274,7 +274,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
    "metadata": {
     "collapsed": true,
     "deletable": true,
@@ -356,7 +356,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 7,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -384,7 +384,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 8,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -416,7 +416,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 9,
    "metadata": {
     "collapsed": true,
     "deletable": true,
@@ -460,7 +460,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 10,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -474,34 +474,34 @@
       "Training...\n",
       "\n",
       "EPOCH 1 ...\n",
-      "Validation Accuracy = 0.964\n",
+      "Validation Accuracy = 0.972\n",
       "\n",
       "EPOCH 2 ...\n",
-      "Validation Accuracy = 0.978\n",
+      "Validation Accuracy = 0.982\n",
       "\n",
       "EPOCH 3 ...\n",
-      "Validation Accuracy = 0.985\n",
+      "Validation Accuracy = 0.986\n",
       "\n",
       "EPOCH 4 ...\n",
-      "Validation Accuracy = 0.985\n",
+      "Validation Accuracy = 0.984\n",
       "\n",
       "EPOCH 5 ...\n",
-      "Validation Accuracy = 0.987\n",
+      "Validation Accuracy = 0.986\n",
       "\n",
       "EPOCH 6 ...\n",
-      "Validation Accuracy = 0.985\n",
+      "Validation Accuracy = 0.990\n",
       "\n",
       "EPOCH 7 ...\n",
-      "Validation Accuracy = 0.990\n",
+      "Validation Accuracy = 0.987\n",
       "\n",
       "EPOCH 8 ...\n",
       "Validation Accuracy = 0.988\n",
       "\n",
       "EPOCH 9 ...\n",
-      "Validation Accuracy = 0.989\n",
+      "Validation Accuracy = 0.987\n",
       "\n",
       "EPOCH 10 ...\n",
-      "Validation Accuracy = 0.991\n",
+      "Validation Accuracy = 0.989\n",
       "\n",
       "Model saved\n"
      ]
@@ -549,7 +549,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 11,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -560,7 +560,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Test Accuracy = 0.989\n"
+      "Test Accuracy = 0.990\n"
      ]
     }
    ],

models/checkpoint

@@ -1,3 +1,2 @@
 model_checkpoint_path: "lenet"
-all_model_checkpoint_paths: "../lenet"
 all_model_checkpoint_paths: "lenet"