I published a tutorial where I explain how to build AutoEncoders
with Python + Keras. In particular, in this video you’ll learn
how to chain encoder + decoder architectures I already implemented
in previous videos to create an autoencoder. You’ll also learn to
train an autoencoder with the MNIST dataset.
This video is part of a series called “Generating Sound with
Neural Networks”. In this series, you’ll learn how to generate
sound from audio files and spectrograms 🎧 🎧 using Variational
Autoencoders 🤖 🤖
Here’s the video:
https://www.youtube.com/watch?v=6fZdJKm-fSk&list=PL-wATfeyAMNpEyENTc-tVH5tfLGKtSWPp&index=6
submitted by /u/diabulusInMusica
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