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Implementing backpropagation from scratch for variational autoencoder

Problem We are implementing a VAE from scratch but are allowed to use the torch.Tensor data structure for GPU capabilities. This is a school assignment and we seem to be in over our heads. We’ve looked for guides and tutorials on VAEs, but every single one uses PyTorch/TensorFlow, which obfuscates the back-propagation process completely. We […]