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https://github.com/ro-jefferson/entropy_dnn

Code for project on relative entropy in deep neural networks
https://github.com/ro-jefferson/entropy_dnn

Last synced: 11 days ago
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Code for project on relative entropy in deep neural networks

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# entropy_dnn
Code for project on relative entropy in deep neural networks; corresponding paper available at https://arxiv.org/abs/2107.06898. Files include:

* `Gaussian_Feedforward.ipynb` -- jupyter notebook that creates and trains feedforward random networks used in the analysis; data written in HDF5 format.

* `Gaussian_Feedforward_Analysis.ipynb` -- jupyter notebook that reads HDF5 files created by `Gaussian_Feedforward.ipynb` and performs analysis (e.g., computes correlation length, generates plots).

* `Relative_Entropy.ipynb` -- jupyter notebook that reads HDF5 files created by `Gaussian_Feedforward.ipynb` and computes the relative entropy or Kullback-Leibler (KL) divergence as a function of depth.

It is recommended to open the `.ipynb` files with jupyter so that LaTeX expressions in markdown cells are rendered correctly.