In this video, we are going to learn about a very interesting concept in deep learning called AUTOENCODER.
An autoencoder is a class of neural network, which consists of an encoder and a decoder. The encoder takes the high dimensional input data to transform it a low-dimension representation called latent-space representation. Then the decoder takes this low-level latent-space representation and reconstructs it to the original input.
CODE: https://github.com/nikhilroxtomar/Autoencoder-in-TensorFlow
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#tensorflow #keras #deep-learning