tensorflow-generative-model-collections
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about CVAE's input
Thanks for the nicely orgnized code, I learned a lot from it. But I have question about the CVAE's input, you just append y's 1-hot code to the last dimension of x, so it makes the original data up to 11 times larger (the image shape becomes 28 * 28 * 11). But why not just append y in the middle of the encoding process, say, when we get a flat vector after several conv2d transformation, then we could append y to this flat vector?