schuetoliver
/
handson-ml
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Minor improvement in chapter 10

main
Aurélien Geron 2016-10-06 14:09:17 +02:00
parent 9b5ffe0472
commit 0d08368095
1 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
10_introduction_to_artificial_neural_networks.ipynb
View File

@ -430,7 +430,7 @@
"with tf.Session() as sess:\n",
" init.run()\n",
" for epoch in range(n_epochs):\n",
" for iteration in range(len(mnist.test.labels)//batch_size):\n",
" for iteration in range(mnist.train.num_examples // batch_size):\n",
" X_batch, y_batch = mnist.train.next_batch(batch_size)\n",
" sess.run(training_op, feed_dict={X: X_batch, y: y_batch})\n",
" acc_train = accuracy.eval(feed_dict={X: X_batch, y: y_batch})\n",
@ -576,7 +576,7 @@
"with tf.Session() as sess:\n",
" init.run()\n",
" for epoch in range(n_epochs):\n",
" for iteration in range(len(mnist.test.labels)//batch_size):\n",
" for iteration in range(mnist.train.num_examples // batch_size):\n",
" X_batch, y_batch = mnist.train.next_batch(batch_size)\n",
" sess.run(training_op, feed_dict={X: X_batch, y: y_batch})\n",
" acc_train = accuracy.eval(feed_dict={X: X_batch, y: y_batch})\n",