Norch
A simple pytorch like library implementation using numpy.
Overview
Norch is a PyTorch-like deep learning framework built using just NumPy. It provides a simple and intuitive interface for building and training deep neural networks. This document provides an overview of Norch’s features and instructions for how to use Norch in your Python projects.
Features
- Linear and sequential layers
- Activation functions
- Loss functions
- Optimizers
- Neural Networks
Documentation
Documentation for Norch is available at README
Conclusion
Norch provides a simple and intuitive interface for building and training deep neural networks using just NumPy. With its linear and sequential layers, activation functions, and optimizers, Norch can be used for a variety of deep learning tasks. The provided loss functions also make it easy to choose the appropriate objective for your problem.
Source Code
The source code of Norch is available at GitHub