def __init__(self):
self.network = layers.SequentialLayer([
layers.LinearLayer(28 * 28, 1000),
layers.ReLULayer(),
layers.LinearLayer(1000, 100),
layers.ReLULayer(),
layers.LinearLayer(100, 10),
])
loss_layer = losses.SoftmaxCrossEntropyLossLayer(parent=self.network)
super(MNISTNetwork, self).__init__(loss_layer)
def __init__(self):
self.layers = layers.SequentialLayer([
layers.ConvLayer(1, 6, 5),
layers.MaxPoolLayer(2, 2),
layers.ReLULayer(),
layers.ConvLayer(6, 16, 5),
layers.MaxPoolLayer(2, 2),
layers.ReLULayer(),
layers.FlattenLayer(),
layers.LinearLayer(16 * 7 * 7, 120),
layers.ReLULayer(),
# layers.LinearLayer(120, 84),
# layers.ReLULayer(),
layers.LinearLayer(120, 10),
])
loss_layer = losses.SoftmaxCrossEntropyLossLayer(parent=self.layers)
super(MNISTNetwork, self).__init__(loss_layer)
