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

🔔 Subscribe: https://www.youtube.com/channel/UClkqp31PHke-f8b8mjiiY-Q

#tensorflow #keras #deep-learning