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.
model_experiments.ipynb- Main notebook that runs experiments with all three activation functionsexperiments_tanh.ipynb- Focused experiments using Tanh activation onlyexperiments_relu.ipynb- Focused experiments using ReLU activation onlyexperiments_leaky_relu.ipynb- Focused experiments using Leaky ReLU activation only
git clone https://github.com/yourusername/speech-command-cnn-notebooks.git
cd speech-command-cnn-notebooks
pip install -r requirements.txt
jupyter notebookOpen any notebook and update the dataset path, then run the cells.
MIT License