Metadata-Version: 2.1
Name: tfhelper
Version: 0.0.4
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
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: tensorflow (>=2.2.0)
Requires-Dist: matplotlib (>=3.2.1)
Requires-Dist: seaborn (>=0.10.1)
Requires-Dist: tensorflow-model-optimization (>=0.3.0)
Requires-Dist: pandas (>=1.0.3)

# 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



