mnist_dnn.py File Reference

Go to the source code of this file.

Namespaces
	mnist_dnn

Variables
int	mnist_dnn.batch_size = 128
int	mnist_dnn.num_classes = 10
int	mnist_dnn.epochs = 25
	mnist_dnn.x_test = x_test.reshape(10000, 784)
	mnist_dnn.y_test = keras.utils.to_categorical(y_test, num_classes)
	mnist_dnn.x_train = x_train.reshape(60000, 784)
	mnist_dnn.y_train = keras.utils.to_categorical(y_train, num_classes)
float	mnist_dnn.l2 = 0.0001
	mnist_dnn.model = Sequential()
	mnist_dnn.loss
	mnist_dnn.optimizer
	mnist_dnn.metrics
	mnist_dnn.history
	mnist_dnn.score = model.evaluate(x_test, y_test, verbose=0)
	mnist_dnn.include_optimizer
	mnist_dnn.json_string = model.to_json()