HQ-LV/tensorflow-2-feature-visualization-notebooks

Feature and class visualization with deep neural networks in tensorflow. Contains deepdream, style transfer, receptive field visualization, convolutional filter visualization, etc.

Tensorflow 2 Deep feature visualization

These are a series of self-contained notebook that show you how to visualize classes, features, and receptive fields, and a few other things in a neural network in tensorflow. I also wrote a short set of blog posts about this code.

Notebooks

• Visualizing classes
• Visualizing features
• Reconstructing images from layer activations
• Visualizing deepdream style transfer

Here are a few things I implemented:

Class visualization

Feature visualization

Receptive field visualization

Image reconstruction from filter activation

Style transfer (starry night)