Fine-tuning a model from an existing checkpoint with TensorFlow-Slim
You can get all information you need from the source code.


train_dir: Directory where checkpoints and event logs are written to. (default: /tmp/tfmodel/)
dataset_dir: The directory where the dataset files are stored.
dataset_name: The name of the dataset to load. (default: imagenet)
dataset_split_name: The name of the train/test split. (default: train)
model_name: The name of the architecture to train. (default: inception_v3)
checkpoint_path: The path to a checkpoint from which to fine-tune.
checkpoint_exclude_scopes: Comma-separated list of scopes of variables to exclude when restoring from a checkpoint.
trainable_scopes: Comma-separated list of scopes to filter the set of variables to train. By default, None would train all the variables.