CODEWITHSUNDEEP
tensorflow
jstaker7
jstaker7

Reputation: 1236

Shared weights in convolutional autoencoder in Tensorflow

In reading about deconvolution, it is often mentioned to use the transpose of the weights when upsampling, but in the few examples in Tensorflow that I can find, this is not the case. Does the transpose happen internally? Which of the following is correct?

tf.nn.conv2d_transpose(matrix, tf.transpose(W1, [1, 0, 2, 3]), ...)

tf.nn.conv2d_transpose(matrix, W1, ...)

Upvotes: 0

Views: 817

Answers (1)

Steven
Steven

Reputation: 5162

You don't need to transpose the weights. It's just a naming convention. You can see why they named it the way they did here. The short summary is that it isn't performing deconvolution and is instead performing a fractionally strided convolution.

Also to answer your question directly the second one is correct.

Upvotes: 3

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