In this video, we are going to dive into the world of Autoencoders and build a Deep Autoencoders in TensorFlow using Keras API. An Autoencoders is a class of neural network for which the input and the output are same. This works by compressing the input into a latent space representation and then reconstructing the output from this representation.

CODE: https://github.com/nikhilroxtomar/Autoencoder-in-TensorFlow

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

#tensorflow #keras

Deep Autoencoder in TensorFlow 2.0 (Keras) | Autoencoders Explained
6.60 GEEK