Metadata-Version: 1.1
Name: HAL-9000
Version: 2.0.0
Summary: A Neural Network library
Home-page: UNKNOWN
Author: Harin Kumar
Author-email: Harinkumar851@gmail.com
License: MIT
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 Tensorflowâ€™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
        
Keywords: neuralnetworks
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Education
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
