HAL-9000 2.0.0

A Neural Network library

HAL_9000 is a Neural Network library that offers various tools for Deep Learning and Reinforcement Learning tasks.

Workflow of this library is inspired by Tensorflow’s Keras and Pytorch.

As of now, HAL_9000 has 7 different operations:

1. Perceptron

2. Multilayer Perceptron

3. Fully connected/Dense Neural Network

4. Convolutional Neural Network

5. Vanilla Recurrent Neural Network

6. Deep Q Neural Network

7. NeuroEvolution

For more info and examples, visit: https://github.com/kumar-harin/HAL_9000

Change Log

2.0.0 (17/11/2020)

• Second Release