Clearing outputs from TensorFlow intro notebook.

This commit is contained in:
Matt Graham 2016-12-22 23:52:30 +00:00
parent ae666f895a
commit ca9f1e6424

View File

@ -63,7 +63,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 1, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false
}, },
@ -89,7 +89,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 2, "execution_count": null,
"metadata": { "metadata": {
"collapsed": true "collapsed": true
}, },
@ -110,7 +110,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 3, "execution_count": null,
"metadata": { "metadata": {
"collapsed": true "collapsed": true
}, },
@ -129,7 +129,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 4, "execution_count": null,
"metadata": { "metadata": {
"collapsed": true "collapsed": true
}, },
@ -151,7 +151,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 5, "execution_count": null,
"metadata": { "metadata": {
"collapsed": true "collapsed": true
}, },
@ -170,7 +170,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 6, "execution_count": null,
"metadata": { "metadata": {
"collapsed": true "collapsed": true
}, },
@ -193,7 +193,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 7, "execution_count": null,
"metadata": { "metadata": {
"collapsed": true "collapsed": true
}, },
@ -219,7 +219,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 8, "execution_count": null,
"metadata": { "metadata": {
"collapsed": true "collapsed": true
}, },
@ -241,7 +241,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 9, "execution_count": null,
"metadata": { "metadata": {
"collapsed": true "collapsed": true
}, },
@ -260,7 +260,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 10, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false
}, },
@ -286,23 +286,11 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 11, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false
}, },
"outputs": [ "outputs": [],
{
"name": "stdout",
"output_type": "stream",
"text": [
"End of epoch 1: running error average = 0.39\n",
"End of epoch 2: running error average = 0.31\n",
"End of epoch 3: running error average = 0.30\n",
"End of epoch 4: running error average = 0.29\n",
"End of epoch 5: running error average = 0.29\n"
]
}
],
"source": [ "source": [
"num_epoch = 5\n", "num_epoch = 5\n",
"for e in range(num_epoch):\n", "for e in range(num_epoch):\n",
@ -325,7 +313,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 12, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false
}, },
@ -342,14 +330,7 @@
" across all batches in dataset and second value corresponding to\n", " across all batches in dataset and second value corresponding to\n",
" average classification accuracy across all batches in dataset.\n", " average classification accuracy across all batches in dataset.\n",
" \"\"\"\n", " \"\"\"\n",
" err = 0\n", " raise NotImplementedError()"
" acc = 0\n",
" for input_batch, target_batch in data:\n",
" err += sess.run(error, feed_dict={inputs: input_batch, targets: target_batch})\n",
" acc += sess.run(accuracy, feed_dict={inputs: input_batch, targets: target_batch})\n",
" err /= data.num_batches\n",
" acc /= data.num_batches\n",
" return err, acc"
] ]
}, },
{ {
@ -361,20 +342,11 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 13, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false
}, },
"outputs": [ "outputs": [],
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train data: Error=0.28 Accuracy=0.92\n",
"Valid data: Error=0.28 Accuracy=0.92\n"
]
}
],
"source": [ "source": [
"print('Train data: Error={0:.2f} Accuracy={1:.2f}'\n", "print('Train data: Error={0:.2f} Accuracy={1:.2f}'\n",
" .format(*get_error_and_accuracy(train_data)))\n", " .format(*get_error_and_accuracy(train_data)))\n",
@ -397,19 +369,11 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 14, "execution_count": null,
"metadata": { "metadata": {
"collapsed": false "collapsed": false
}, },
"outputs": [ "outputs": [],
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of operations in graph: 99\n"
]
}
],
"source": [ "source": [
"default_graph = tf.get_default_graph()\n", "default_graph = tf.get_default_graph()\n",
"print('Number of operations in graph: {0}'\n", "print('Number of operations in graph: {0}'\n",
@ -425,7 +389,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 15, "execution_count": null,
"metadata": { "metadata": {
"collapsed": true "collapsed": true
}, },
@ -449,7 +413,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 16, "execution_count": null,
"metadata": { "metadata": {
"collapsed": true "collapsed": true
}, },