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

Before Change


X_test = X_test.astype("float32")
Y_train = np_utils.to_categorical(y_train, 10)
Y_test = np_utils.to_categorical(y_test, 10)
print("X_train shape:", X_train.shape)
print(X_train.shape[0], "train samples")
print(X_test.shape[0], "test samples")

sigma = 0

After Change



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))
model.add(Convolution2D(32, 3, 3, border_mode="same"))
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 2

Instances


Project Name: NeuromorphicProcessorProject/snn_toolbox
Commit Name: 64ff88344402771c2735dbcacf7010acfeb55b0a
Time: 2016-10-09
Author: bodo.rueckauer@gmail.com
File Name: ann_architectures/cifar10/noise.py
Class Name:
Method Name:


Project Name: adalca/neuron
Commit Name: 856fd717c4bd7a56ae951b8b687b44b16f1d3c8d
Time: 2017-04-10
Author: adalca@mit.edu
File Name: neuron/models.py
Class Name:
Method Name: design_dnn


Project Name: NeuromorphicProcessorProject/snn_toolbox
Commit Name: ff68020f31663a0c0023a47dc347531f1f4250af
Time: 2016-09-07
Author: bodo.rueckauer@gmail.com
File Name: ann_architectures/cifar10/alexnet.py
Class Name:
Method Name: