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A project template to start writing deep learning models using Keras.

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Keras Project Template

Inspired from https://github.com/Ahmkel/Keras-Project-Template

CycleGAN is implemented as a sample model.

Features

  • tensorpack powered dataloader
  • supports save/load models and optimizers
  • supports multi-gpu training
  • backups source code and config used to train
  • stops training if encounter nan loss
  • collages losses to a single graph on tensorboard
  • telegram notification on train start/end

Requirements

python >= 3.6

Install required packages

pip install -r requirements.txt

Download dataset

sh ./download_dataset.sh horse2zebra

Setup config

edit configs/cyclegan.yml file

To train

python train.py --config configs/cyclegan.yml

Training from a certain checkpoint.

python train.py --config configs/cyclegan.yml --chkpt 123

Visualize via Tensorboard

tensorboard --logdir /path/to/experiment/dir/tensorboard/

Setup telegram notification

Add telegram token and chat_id to environment variables as TELEGRAM_TOKEN and TELEGRAM_CHAT_ID

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A project template to start writing deep learning models using Keras.

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