it does not affect the batch size. For example, suppose that we pass the input shape described as (size of the batch, 6, 6) then the shape of the output layer retrieved by using Keras. Layers. Flatten() function
Source File: QuestionPooling.py From R-NET-in-Keras with MIT License 6 votes def call(self, inputs, mask=None): assert(isinstance(inputs, list) and len(inputs) == 5) uQ, WQ_u, WQ_v, v, VQ_r = inputs uQ_mask = mask[0] if mask is not None else None ones = K.ones_...
keras_mnist_softmax.ipynb keras_mnist_softmax.py key_usage.ipynb key_usage.py key_usage_with_operator.ipynb key_usage_with_operator.py keyword_example.ipynb keyword_example.py kwargs.ipynb kwargs.py lambda_example.ipynb lambda_example.py len_usage.ipynb len_usage.py list_1d...