This packages contains frequently used methods or classes in use of Tensorflow 2.x
Project description
tfhelper
Your friendly Tensorflow 2.x neighbor.
Usage
dataset
HDF5Generator
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
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