Metadata-Version: 2.1
Name: pydlmafs
Version: 0.0.1b0
Summary: Python basic Deep Learning maths package
Home-page: https://github.com/booleangabs/pydlmafs
Author: José Gabriel Pereira Tavares
Author-email: jgpt@cin.ufpe.br
License: MIT
Download-URL: https://github.com/booleangabs/pydlmafs/releases/download/v001/pydlmafs-0.0.1.tar.gz
Description: # pydlmafs: math done the wrong way
        
        ## This package contains three modules:
        ###     calc: Calculus with python functions
        ###     linalg: bad Linear Algebra implementation
        ###     probstat: Probability and Statistics *kinda*
        
        ### Note that the code in here was written without any concern about efficiency and has no use in real applications
        
        ## Installation
        
        ```python
        pip install pydlmafs
        ```
        ```python
        #Testing
        import pydlmafgs.calc as clc
        import pydlmafgs.linalg as ldl
        import pydlmafgs.probstat as pst
        
        def f(x):
            return 2*(x**2) + 2
        
        print(clc.uni_deriv(f, 5))
        
        vec = ldl.Tensor([6, -5, 2])
        eye = ldl.Identity(3)
        
        (eye @ vec).show()
        
        ldl.EWise('func', vec, func=pst.sigmoid)
        vec.show()
        ```
        
        
        
Keywords: math,deeplearning,python3
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
