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Fourier Feature Networks | TensorFlow 2

This is a simple TensorFlow 2 implementation of Fourier Feature Networks, as described in this paper. Also see their project page.

The code here generates random Fourier features to use in a compositional pattern producing network (this is the 2D image regression task described in the paper.)

The config.yaml file controls hyperparameters, which are kept at their defaults. The data is 6 images taken from places365.

Visualization

The top row is a standard compositional pattern producing network, and the second row is the same network using random Fourier features.

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Fourier Feature Networks in TensorFlow 2

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