Raspberry Pi ML

The purpose of this project is to explore distributed neural network training on multiple Raspberry Pis. Training performance is not meant to surpass GPUs in any sense; the main intention is to explore computing clusters and learning about the inner working of deep learning with self-implemented neural network layers.

Completion (as of April 29, 2024):

• Basic deep learning framework (Dense, ReLU, Sigmoid, Binary Crossentropy) /MiAI.py
• Sample implementation /NNExample.py

To be completed (very general to be expanded):

• Raspberry Pi Setup
• Distriuted learning Pipeline
• More advanced deep learning components (optimizers, normalization layers, etc...)