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# self.cnn_x_input is a [-1, 5, 20, 1] tensor, after cnn, the shape will be [-1, 5, 20, 5]., #32

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915288938lx opened this issue Jul 24, 2019 · 1 comment

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@915288938lx
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according to this "self.cnn = self.add_cnn(self.cnn_x, filters=2, kernel_size=[2, 2], pooling_size=[2, 2]) "
after cnn, the shape should be (-1,5,20,2)?

Am i misunderstanding?

@915288938lx
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