This is a simple packkage that implements neural nets from scratch. This package can help you develop small neural net models, and will give you experience of implementing a neural network from scratch. The package can not be used for large scale DL models, it is created for the purpose of learning to implement Neural Nets from scratch.
The neural net class in this package is built using basic numpy functions, giving you a deep dive on how the backpropogation algorithm works. This package is for beginers who want to get started with neural nets and want to implement it from scratch.