ff68020f31663a0c0023a47dc347531f1f4250af,ann_architectures/cifar10/nin.py,,,#,32

Before Change

model.add(Flatten())
model.add(Activation("softmax"))

sgd = SGD(lr=0.005, momentum=0.9, decay=1e-6, nesterov=True)
model.compile(sgd, "categorical_crossentropy", metrics=["accuracy"])

// Whether to apply global contrast normalization and ZCA whitening
gcn = True

After Change

model.add(Activation("relu"))
model.add(Convolution2D(10, 1, 1, W_regularizer=reg, b_regularizer=b_reg,
                        init=init))
model.add(BatchNormalization(axis=1))
model.add(Activation("relu"))
model.add(AveragePooling2D(pool_size=(8, 8), strides=(1, 1)))
model.add(Flatten())

Instances