GitHub / mohamedkhayat / DIYNeuralNet

A lightweight deep learning framework implemented from scratch using NumPy/CuPy. supports customizable architectures, forward and back propagation, dropout, He/Glorot init, and mini-batch training. Designed for flexibility,it provides a foundation for building neural networks while giving insights into the inner workings of deep learning models

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mohamedkhayat%2FDIYNeuralNet
PURL: pkg:github/mohamedkhayat/DIYNeuralNet

Topics: backpropagation, deep-learning, dropout, machine-learning, neural-networks, numpy, python

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