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
BLOG: https://idiotdeveloper.com/introduction-to-autoencoders/
Simple Autoencoder in TensorFlow 2.0 (Keras): https://youtu.be/UzHb_2vu5Q4
Convolutional Autoencoder in TensorFlow 2.0 (Keras): https://youtu.be/1X7wPWnVkHg
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