Skip to content
OmBaval / Neural-Network-from-scratch-without-TensorFlow-PyTorchView on GitHub
This repository features a simple two-layer neural network trained on the MNIST dataset using Python and NumPy. It covers data preprocessing, forward and backward propagation, gradient descent for parameter updates, and model evaluation, offering an educational exploration of neural networks without external frameworks.
☆10Sep 23, 2024Updated 2 years ago

Alternatives and similar repositories for Neural-Network-from-scratch-without-TensorFlow-PyTorch

Users that are interested in Neural-Network-from-scratch-without-TensorFlow-PyTorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.

Sorting:

Are these results useful?