Neural Discrete Representation Learning
Figure 1: Left: A figure describing the VQ-VAE. Right: Visualisation of the embedding space. The output of the encoder z(x) is mapped to the nearest point e 2. The gradient r zL(in red) will push the encoder to change its output, which could alter the configuration in the next forward pass. During forward computation the nearest embedding z
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