HAL-9000 4.0.0

A Deep Learning framework

HAL_9000 may not be the best deep learning framework, but it is a deep learning framework.

To install the library:

pip install HAL-9000

Workflow of this framework is inspired by Tensorflow’s Keras.

As of now, HAL_9000 offers:

7 different variants of NNs:

-> Perceptron -> Multilayer Perceptron -> Dense Net -> Conv Net -> Vanilla RNN -> LSTM -> DQN

Several regularization methods:

-> Batch Norm -> Layer Norm -> Dropout

Optimizers:

-> Adam -> RMS prop -> SGD

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

Change Log

4.0.0 (23/02/2021)

• Fourth Release