Used to reshape an array. Say we have a 3 dimensional array of dimensions 2 x 10 x 10: r = numpy.random.rand(2, ... ... <看更多>

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In reccurent.py, there are some codes like this from .. import backend as K x = K.reshape(x,(-1,input_dim)) x = K.reshape(x, (-1, timesteps, ... ... <看更多>

x [4:7] # middle sub-array ... x[1::2] # every other element, starting at index 1 ... x = np.array([1, 2, 3]) # row vector via reshape x.reshape((1, 3)). ... <看更多>

Keras requires you to set the input_shape of the network. This is the shape of a single instance of your data which would be (28,28) . ... <看更多>