A Neural Network library
Project description
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.
As of now, HAL_9000 has 6 different operations:
Perceptron
Multilayer Perceptron
Fully connected/Dense Neural Network
Convolutional Neural Network
Deep Q Neural Network
NeuroEvolution
For more info and examples, visit: https://github.com/kumar-harin/HAL_9000
Change Log
1.0.0 (07/11/2020)
First Release
Project details
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