Metadata-Version: 2.1
Name: tfhelper
Version: 0.0.10
Summary: This packages contains frequently used methods or classes in use of Tensorflow 2.x
Home-page: https://github.com/JeiKeiLim/tfhelper
Author: Jongkuk Lim
Author-email: lim.jeikei@gmail.com
License: MIT
Description: # tfhelper
        Your friendly Tensorflow 2.x neighbor.
        
        # Usage
        ## dataset
        ### HDF5Generator
        ```python
        from tfhelper.dataset import HDF5Generator
        
        train_generator = HDF5Generator("/dataset/path.hdf5", "training_data", "test_data")
        train_dataset = train_generator.get_dataset(input_shape=(300, 300), batch_size=16, shuffle=True, n_shuffle=1000)
        
        ...
        model = Define some model
        
        model.fit(train_dataset)
        ```
        
        ## tensorboard
        ### ConfuseCallback
        ### ModelSaverCallback
        ### run_tensorboard
        ### wait_ctrl_c
        ### get_tf_callbacks
        
        ## gpu
        ### allow_gpu_memory_growth
        
        ## transfer_learning
        ### get_transfer_learning_model
        
        # Getting started
        ## pip install
        ```
        pip install tfhelper
        ```
        
        ## Environments
        - Python 3.7
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
