diff --git a/notebooks/08_Introduction_to_TensorFlow.ipynb b/notebooks/08_Introduction_to_TensorFlow.ipynb index 5f77a4f..df21000 100644 --- a/notebooks/08_Introduction_to_TensorFlow.ipynb +++ b/notebooks/08_Introduction_to_TensorFlow.ipynb @@ -63,7 +63,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": { "collapsed": false }, @@ -89,7 +89,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": { "collapsed": true }, @@ -110,7 +110,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": { "collapsed": true }, @@ -129,7 +129,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": { "collapsed": true }, @@ -151,7 +151,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": { "collapsed": true }, @@ -170,7 +170,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": { "collapsed": true }, @@ -193,7 +193,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": { "collapsed": true }, @@ -219,7 +219,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": { "collapsed": true }, @@ -241,7 +241,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": { "collapsed": true }, @@ -260,7 +260,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": { "collapsed": false }, @@ -286,23 +286,11 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": { "collapsed": false }, - "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" - ] - } - ], + "outputs": [], "source": [ "num_epoch = 5\n", "for e in range(num_epoch):\n", @@ -325,7 +313,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": { "collapsed": false }, @@ -342,14 +330,7 @@ " across all batches in dataset and second value corresponding to\n", " average classification accuracy across all batches in dataset.\n", " \"\"\"\n", - " err = 0\n", - " 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" + " raise NotImplementedError()" ] }, { @@ -361,20 +342,11 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": { "collapsed": false }, - "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" - ] - } - ], + "outputs": [], "source": [ "print('Train data: Error={0:.2f} Accuracy={1:.2f}'\n", " .format(*get_error_and_accuracy(train_data)))\n", @@ -397,19 +369,11 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": { "collapsed": false }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of operations in graph: 99\n" - ] - } - ], + "outputs": [], "source": [ "default_graph = tf.get_default_graph()\n", "print('Number of operations in graph: {0}'\n", @@ -425,7 +389,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": { "collapsed": true }, @@ -449,7 +413,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": { "collapsed": true },