validate_after_epochs=1,
training_accuracy=True,
show_progress=True,
early_terminate=True,
verbose=verbose)
net.test(verbose=verbose)
## Boiler Plate ##
if __name__ == '__main__':
dataset = None
if len(sys.argv) > 1:
if sys.argv[1] == 'create_dataset':
from yann.utils.dataset import cook_mnist
data = cook_mnist(verbose=3)
dataset = data.dataset_location()
else:
dataset = sys.argv[1]
else:
print "provide dataset"
if dataset is None:
print " creating a new dataset to run through"
from yann.utils.dataset import cook_mnist
data = cook_mnist(verbose=3)
dataset = data.dataset_location()
lenet5(dataset, verbose=2)
training_accuracy = True,
learning_rates = learning_rates,
show_progress = True,
early_terminate = True,
verbose = verbose)
net.test(verbose = verbose)
## Boiler Plate ##
if __name__ == '__main__':
import sys
dataset = None
if len(sys.argv) > 1:
if sys.argv[1] == 'create_dataset':
from yann.utils.dataset import cook_mnist
data = cook_mnist (verbose = 2)
dataset = data.dataset_location()
else:
dataset = sys.argv[1]
else:
print "provide dataset"
if dataset is None:
print " creating a new dataset to run through"
from yann.utils.dataset import cook_mnist
data = cook_mnist (verbose = 2)
dataset = data.dataset_location()
lenet5 ( dataset, verbose = 2 )
#lenet_on_steroids (dataset, verbose = 2)
show_progress = True,
early_terminate = True,
learning_rates = learning_rates,
verbose = verbose)
net.test(verbose = verbose)
## Boiler Plate ##
if __name__ == '__main__':
import sys
dataset = None
if len(sys.argv) > 1:
if sys.argv[1] == 'create_dataset':
from yann.utils.dataset import cook_mnist
data = cook_mnist (verbose = 3)
dataset = data.dataset_location()
else:
dataset = sys.argv[1]
else:
print "provide dataset"
if dataset is None:
print " creating a new dataset to run through"
from yann.utils.dataset import cook_mnist
data = cook_mnist (verbose = 3)
dataset = data.dataset_location()
mlp ( dataset, verbose = 2 )
