import-ai 1.0.0

AI library in python using numpy, with end-to-end auto differentiable Computational Graph

import ai

AI library in python using numpy

The main purpose of this library is to understand the deep concepts of AI by implementing everything from scratch. I want to expose the functions of Deep Learning APIs as clearly as possible.

This library develops:

• a Parameter object - that holds the weights and derivatives
• a Computational Graph - to store operations during forward pass and execute them in reverse order during backprop. This has all the necessary functions to help realise many layers to do deep learning
• Layers/models - the fundamental Linear layer, LSTM and RNN, Convolutional NN for now, and a generic model template for util functions
• Loss - Mean Square, Cross Entropy loss functions, also has backward call function
• Optimizers - basic SGD, Adam, Adagrad optimizer functions
• some examples using this library

I will keep updating the library with more explanations, documentation and a similar library in my favourite language c++ soon!

Goal

I want to be able to implement every model in the below Deep Learning Toolkit picture source tweet

Author

Sri Ram Bandi / @_srirambandi_