Hands-On Stacked Autoencoders with TensorFlow & Keras
A hands-on coding session to understand the encoder/decoder architecture, feature extraction, codings, and synthetic image generation.
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00:00 Intro
01:09 Notebook Overview
01:48 Training & Validation Data
02:05 Architecture
02:16 Encoder
02:33 Decoder
03:08 Stacking
04:31 Train
05:23 Predict
07:18 Feature Extractor
08:45 Network Summary
09:49 Standalone Decoder
13:05 Visualizing Digits
16:53 Standalone Decoder
20:33 Generating Synthetic Images
22:02 Animation
24:14 Synthetic Images from Custom Digits Tensor
26:26 Recap
28:07 Outro