Variational Autoencoders (VAE) came into limelight when they were used to obtain state-of-the-art results in image recognition and reinforcement learning. VAEs consist of encoder and decoder network, the techniques of which are widely used in generative models. Encoders can be seen in CNNs too, they convert an image into a smaller dense representation which is…

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