Snet: A simple deep learning library

A simple deep learning library which contains basic functions for creating a linear model, loading data and training the model.

Components of the library

1. Tensors
2. Loss Functions
3. Layers
4. Neural Nets
5. Optimizers
6. Data
7. Training
8. Examples

Acknowledgements

I was inspired by this Livecoding Madness: Let's Build a Deep Learning Library tutorial by Joel Grus.