Metadata-Version: 1.1
Name: HAL-9000
Version: 4.0.0
Summary: A Deep Learning framework
Home-page: UNKNOWN
Author: Harin Kumar
Author-email: Harinkumar851@gmail.com
License: MIT
Description: 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 Tensorflowâ€™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
        
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
