Skip to content

Repository files navigation

Speech Command CNN Experiments

This repository contains Jupyter notebooks for training and evaluating convolutional neural networks on speech command classification tasks. The experiments compare three different activation functions: Tanh, ReLU, and Leaky ReLU.

What's included

  • model_experiments.ipynb - Main notebook that runs experiments with all three activation functions
  • experiments_tanh.ipynb - Focused experiments using Tanh activation only
  • experiments_relu.ipynb - Focused experiments using ReLU activation only
  • experiments_leaky_relu.ipynb - Focused experiments using Leaky ReLU activation only

Getting started

git clone https://github.com/yourusername/speech-command-cnn-notebooks.git
cd speech-command-cnn-notebooks
pip install -r requirements.txt
jupyter notebook

Open any notebook and update the dataset path, then run the cells.

License

MIT License

About

No description, website, or topics provided.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages