going_deeper

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expected dense_10 shape (None, <dense_size>) but got array shape (<batch_size>, 1)

44

Batch size is 2048. Getting the training data from the q I see x_train, y_train = train_q.get() print('X.. ' + str(x_train.shape) + ' Y.. ' + str(y_train.shape)) X.. (2048, 2980)...

phobrain

Does not learn

1

The mnist code fails to learn anything for at least the first 15 epochs and counting. It is still running. The accuracy is static at about 10%. If the net...

alphamupsiomega