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In the world of deep learning, most models rely on continuous latent spaces to learn and generate data. However, discrete representations can offer more

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Beginner Reverse Engineering Labs by Marcus Hutchins - "Undercode Testing": Monitor hackers like a pro. Get real-time updates, AI-powered insights, and expert

The core idea behind VQ-VAE is to quantize the latent representations produced by an encoder, mapping them into discrete embeddings from a predefined