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 )