November 2017
Intermediate to advanced
304 pages
6h 58m
English
Content preview from Machine Learning with TensorFlow 1.x
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Training
Now, let's train our network:
for i in range(1, 30001):
sess.run(train_op1, feed_dict={feature_data: train_features.values,
actual_classes: train_labels.values.reshape(len(train_labels.values), 2)})
if i % 5000 == 0:
print(i, sess.run(accuracy, feed_dict={feature_data: train_features.values,
actual_classes: train_labels.values.reshape(len(train_labels.values), 2)}))
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.