Comments (2)
Hi @rmalav15
If you look in the paper, equation 1, you will see that the activations of each gate and cell are the result of two convolutions plus bias: one convolution on the input x_t and one convolution on the previous state h_{t-1}. The convolution on the input is performed with a filter kc x kc, and the convolution on the previous state (memory) with a filter km x km.
When ConvLSTM is used within a sequencer, rho parameter gets overwritten indeed.
Hope it's clearer now.
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@viorik
Much Thanks Ma'am.
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