fix image_ocr example steps_per_epoch and validation_steps params #7696
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fchollet
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Aug 20, 2017
examples/image_ocr.py
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| model.fit_generator(generator=img_gen.next_train(), steps_per_epoch=(words_per_epoch - val_words), | ||
| epochs=stop_epoch, validation_data=img_gen.next_val(), validation_steps=val_words, | ||
| model.fit_generator(generator=img_gen.next_train(), steps_per_epoch=(words_per_epoch - val_words) / minibatch_size, | ||
| epochs=stop_epoch, validation_data=img_gen.next_val(), validation_steps=val_words / minibatch_size, |
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August 23, 2017 23:02
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…github.com:dschwertfeger/keras into tensorboard-callback-embeddings-from-layer-outputs * 'tensorboard-callback-embeddings-from-layer-outputs' of github.com:dschwertfeger/keras: Update for PPM format (keras-team#7750) Style fix Style fix Prepare 2.0.8 release. Update TFRecord example. Update backend docs. Style fix. Update README.md and setup.py. Minor optimizer consistency fixes. Recurrent layer to treat 2nd and the rest of inputs as initial_states (keras-team#7691) added 2 missing scripts to the README in the examples folder (keras-team#7734) Fixes and tests wrt step-wise training. Fix PEP8 (keras-team#7731) fix image_ocr example steps_per_epoch and validation_steps params (keras-team#7696) Remove requirement that batch_size divides len(x_train) in Variational Autoencoders examples. (keras-team#7716) Small fixes in training.py
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v1 to v2 migration fix