Metadata-Version: 2.1
Name: kdezero
Version: 2.0
Summary: This library is an my improved version of "Deep Learning from Basic 3".
Home-page: https://github.com/kotabrog/K_DeZero.git
Author: Kota Suzuki
Author-email: suzuki.kota0331@gmail.com
License: MIT
Description: # K_DeZero
        
        ## Overview
        
        This library is an my improved version of "Deep Learning from Basic 3".
        (In production)
        
        ## Requirement
        
        - Python3.8
        - If you use gpu, cupy
        - If you want to visualize the model, install graphviz
        - For details, see requirements.txt
        
        ## Usage
        
        Method1:
        ```
        pip install kdezero
        ```
        
        Method2:
        ```
        git clone https://github.com/kotabrog/K_DeZero.git
        cd kdezero
        python setup.py sdist
        pip install dist\kdezero-2.0.tar.gz
        ```
        
        Then you will be able to use "kdezero".
        
        ## sample
        
        Look at [samples](https://github.com/kotabrog/K_DeZero/tree/main/samples).
        
        ## Features
        
        This library can:
        
        - Backpropagation-enabled variables can be used like numpy
        - Contains basic machine learning parts
        - Some support gpu
        - Visualize model configuration using graphviz
        
        ## Author
        
        [twitter](https://twitter.com/Kotabrog)
        
        ## Licence
        
        [MIT](https://github.com/kotabrog/K_DeZero/blob/main/LICENSE)
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
