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Tutorial on low rank RNNs theory and reverse engineering trained networks (with solution)

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Introduction to low-rank RNN tutorial

Two-day tutorial on low rank RNNs theory and reverse engineering trained networks.

The first tutorial is heavily based on the paper and code provided in (Mastrogiuseppe & Ostojic, 2019). For more advance concepts, please refer to that paper.

The second tutorial heavily based on the paper and code provided in (Dubreuil, Valente et al, 2022). All the code inside "low_rank_rnns" was taken from that repository.

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Tutorial on low rank RNNs theory and reverse engineering trained networks (with solution)

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  • Jupyter Notebook 88.0%
  • Python 12.0%