What is saw by using conv2d_grad_wrt_inputs *it is to do de**convolution** on feature maps by using a 2D kernel. in the case where you have multiple channels who is this applied? * *I did think of using conv2d function with stride and padding but then the idea how to match the assertion between between the input channels and the filter size. If I chose one feature map to deconv and the output should be RGB image ? *
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