Master Autoencoders in Keras

 After training, the autoencoder can be split into an encoder and a decoder ... I have also written about my experiences using keras-molecules
What you'll learn
  • Master Autoencoders and its different models using Keras
.Autoencoders are a very popular neural network architecture in Deep Learning. It consists of 2 parts - Encoder and Decoder. Encoder encodes the data into some smaller dimension, and Decoder tries to reconstruct the input from the encoded lower dimension. The lowest dimension is known as Bottleneck layer. So, it can be used for Data compression.In this course we explore the different types of Autoencoders, starting from simple to complex models. We'll also look at how to implement different Autoencoder models using Keras, which one of the most popular Deep Learning frameworks.
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