Metadata-Version: 2.1
Name: gtrain
Version: 0.3.0
Summary: Abstraction for general models in TensorFlow with implemented train function
Home-page: https://github.com/fantamat/gtrain
Author: Matěj Fanta
Author-email: fantamat93@gmail.com
License: Apache License 2.0
Description: #gtrain
        
        Project that using abstraction of the model and data to define structures that can be used for learning. Model can bee learned by gtrain function to fit the data properly.
        This abstraction allows to implement almost everything you want without need to implementing learning algorithm all the time.
        For example it can easily handle various input length witch is not common in other implementations.
        
        ##Examples
        
        Examples are included in a folder *example* in a github repository.
        
        ##Implementation
        
        There are three parts of the abstraction the model, data, and learning function.
        
        ###Model
        
        Abstaction of a model in *TensorFlow*.
        
        ###Data
        
        Abstraction of the data for feeding the model within the training algorithm.
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering
Description-Content-Type: text/markdown
