cgfalcon / research-on-activtion-functions

A activation functions research focusing on how bio or non-bio activation functions impact model complexity

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Instructions

This is the source code for the course project: SYDE552

Our project titled: Unlocking the Potential: Exploring the Impact of Biology-Inspired Activation Functions

Installing

All the required packages are listed in the requirements.txt

Source Code Structure

  • Root
    • experiments: All the experiments been conducted
      • cifar10: experiments on CIFAR-10 dataset
      • minst: experiments on MINST dataset
      • sensitiveparams: experiments on sensitivity of parameters
    • src: Source code of our experiment framework
    • *.ipynb: notebook of initial exploration

Experiments

We ran a number of experiments throughout our project. All the experiments can be found under the experiments directory.

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A activation functions research focusing on how bio or non-bio activation functions impact model complexity


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Language:Jupyter Notebook 94.8%Language:Python 5.2%