Metadata-Version: 2.1
Name: tfaip
Version: 1.0.1
Summary: UNKNOWN
Home-page: https://github.com/Planet-AI-GmbH/tf2_aip_base
Author: Planet AI GmbH
Author-email: admin@planet-ai.de
License: GPL-v3.0
Download-URL: https://github.com/Planet-AI-GmbH/tf2_aip_base/archive/1.0.1.tar.gz
Description: # tf2_aip_base
        This repository is designed as a research framework for supervised machine learning. 
        It aims to reduce your work on the train-loop, validation, saving, optimizer, multi-gpu and 
        provides lot more features, which can be configured via command line.
        
        # Setup
        see: [Setup](https://github.com/Planet-AI-GmbH/tf2_aip_base/wiki/Install)
        # Usage
        To setup your own scenario see: [Scenario setup](https://github.com/Planet-AI-GmbH/tf2_aip_base/wiki/Scenario-setup.md)
        
        ## Running the tutorial scenario:
        The default tutorial scenario is 'fashion-mnist'. Run your first training with:
        
        `tfaip-train tutorial --trainer_params checkpoint_dir=models/fashion_default`
        
        tfaip-train refers to `tfaip/scripts/train.py`. You can switch to mnist data with `--data_params dataset=mnist`.
        
        You can evaluate the model on the validation dataset with:
        `tfaip-lav --export_dir models/fashion_default/export`
        
        Most hyper parameter can be configured via command line see `tfaip-train -h` and `tfaip-train tutorial -h`.
        Checkout the [Wiki](https://github.com/Planet-AI-GmbH/tf2_aip_base/wiki) for further explanations.
        
        _Contributions are welcome, and they are greatly appreciated!_
        
        
        
        
        
Keywords: machine learning,tensorflow,framework
Platform: UNKNOWN
Requires-Python: >=3.7
Description-Content-Type: text/markdown
