Python datasets.mnist() Examples

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Example #1
Source File: vgg_train.py    From keras-deepcv with MIT License 4 votes vote down vote up 
def parse_args():
	"""
	Parse command line arguments.

	Parameters:
		None
	Returns:
		parser arguments
	"""
	parser = argparse.ArgumentParser(description='LeNet model')
	optional = parser._action_groups.pop()
	required = parser.add_argument_group('required arguments')
	required.add_argument('--net',
		dest='net',
		help='Choice of network architecture',
		choices=['vgg16', 'vgg19'])
	optional.add_argument('--dataset',
		dest='dataset',
		help='Choice of dataset to train model',
		choices=[None, 'mnist', 'cifar10'],
		default=None)
	optional.add_argument('--print_model',
		dest='print_model',
		help='Print LeNet model',
		action='store_true')
	optional.add_argument('--train_model',
		dest='train_model',
		help='Train LeNet on MNIST',
		action='store_true')
	optional.add_argument('-s', '--save_weights',
		dest='save_weights',
		help='Save the trained weights',
		default=None)
	optional.add_argument('-w', '--weights',
		dest='weights',
		help='Path to weights (hdf5) file',
		default=None)
	optional.add_argument('-e', '--epochs',
		dest='epochs',
		help='Number of epochs for training',
		type=int,
		default=20)
	optional.add_argument('--data_augmentation',
		dest='data_augmentation',
		help='Use data augmentations for input',
		action='store_true')
	optional.add_argument('--viz_training',
		dest='viz_training',
		help='Visualize the training curve',
		action='store_true')
	parser._action_groups.append(optional)
	return parser.parse_args()