Issues in Keras model loading in Tensorflow Serving · Issue #2310 · keras-team/kerasYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
out of memory when using BatchNormalization on convolutional layers · Issue #6661 · keras-team/keras
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Refactor regularizers and add add_weight method. by fchollet · Pull Request #4703 · keras-team/keras
Keras 2.0 release notes
The nb_epoch argument has been renamed epochs everywhere. The methods fit_generator, evaluate_generator and predict_generator now work by drawing a number of batches from a generator (number of training steps), rather than a number of samples. samples_per_epoch was changed to steps_per_epoch in fit_generator. It now refers to the number of batches an epoch is considered as done. nb_val_samples was
fit_generator converges slower and tensorboard's OOM problem · Issue #4797 · keras-team/keras
problem 1: i changed my code from fit to fit_generator, however, i found it converged slower than using fit. Using fit it converges at 5th epoch, however, it doesn't converge even at 10th epoch when i change to fit_generator. Moreover, when validation_data also uses fit_generator, the performance becomes much worse. Is my generator function has errors? def batch_iter(x, y, batch_size): """ Generat
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OOM on GPU with Tensorboard enabled #4797 (problem2) by Vladimir-Yashin · Pull Request #4834 · keras-team/keras
