Metadata-Version: 1.1
Name: Terminatetensorflow
Version: 0.0.6
Summary: A very basic NN framework
Home-page: https://github.com/ASU-DEVs/NNFramework
Author: 98Passant_Elbaroudy.98
Author-email: passantbaroodyy@hotmail.com
License: MIT
Description: 1. Dense Module
        This module contain the parameters initialization, layer forward propogation, layer backward propogation and also parameters update.
        2. Viz Module
        this module contain all vizualization technique used inside our framework, All built with matplotlib
        3. Saver module
        This module save the model parameters to be used for predection.
        The model is built upon pickle implementation for save and restoring model
        4. Metrics module
        This module contains all the accuracy Metrics that are used to evaluate the model, include but not limited to absolute_metrics, F1_score
        5. Preprocessing module
        This module contain all data preprocessing from reading and cutting the data into the required ratios.
        
        Mainly the input data is divided into test data and training data
        
        6. Loss module
        this module contain all the implemented loss functions include but not limited to multiclass loss
        7. Actvfn module
        This module contain all activation functions implemented for our model and also their derivatves.
        8. Live animation
        This module is for live plotting of both training loass and accuracy, Saved as a gif.
        
        change log
        ==========
        
        0.0.1(24/01/2021)
        -----------------
        First Release
        
Keywords: layer
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
