64ff88344402771c2735dbcacf7010acfeb55b0a,ann_architectures/cifar10/noise.py,,,#,24

Before Change

model.add(Convolution2D(64, 5, 5, border_mode="same"))
model.add(Activation("relu"))
model.add(GaussianNoise(sigma))
model.add(Dropout(0.25))
model.add(AveragePooling2D(pool_size=(3, 3), strides=(2, 2)))

model.add(Convolution2D(64, 3, 3))

After Change

model = Sequential()

model.add(GaussianNoise(sigma, input_shape=(3, 32, 32)))
model.add(Convolution2D(32, 3, 3, border_mode="same"))
model.add(BatchNormalization(axis=1))
model.add(Activation("relu"))
model.add(GaussianNoise(sigma))

Instances