def __init__(self):
self.layers = []
self.learning_rate = 0.01
self.layers.append(
ops.FullyConnected(784, 30, self.learning_rate, "F6"))
self.layers.append(ops.FullyConnected(30, 30, self.learning_rate,
"F6"))
self.layers.append(ops.FullyConnected(30, 10, self.learning_rate,
"F7"))
self.layers.append(ops.Softmax())
def __init__(self):
self.layers = []
self.learning_rate = 0.1 #0.0005 in the paper
self.layers.append(ops.Conv2D(1, 6, 5, 1, self.learning_rate, "C1"))
self.layers.append(ops.ReLu()) # Sigmoin in the paper
self.layers.append(ops.MaxPool(2, 2, "S2"))
self.layers.append(ops.Conv2D(6, 16, 5, 1, self.learning_rate, "C3"))
self.layers.append(ops.ReLu()) # Sigmoin in the paper
self.layers.append(ops.MaxPool(2, 2, "S4"))
self.layers.append(ops.Conv2D(16, 120, 5, 1, self.learning_rate, "C5"))
self.layers.append(ops.ReLu()) # Sigmoin in the paper
self.layers.append(
ops.FullyConnected(120, 84, self.learning_rate, "F6"))
self.layers.append(ops.FullyConnected(84, 10, self.learning_rate,
"F7"))
self.layers.append(ops.Softmax())
def __init__(self):
self.layers = []
self.learning_rate = 0.0005
self.layers.append(ops.Conv2D(1, 10, 5, 1, self.learning_rate, "C1"))
self.layers.append(ops.Sigmoid())
self.layers.append(ops.MaxPool(2, 2, "S2"))
self.layers.append(ops.Flatten())
self.layers.append(
ops.FullyConnected(1960, 10, self.learning_rate, "F6"))
self.layers.append(ops.Softmax())
def __init__(self):
self.layers = []
self.learning_rate = 0.0005
self.layers.append(ops.Conv2D(1, 10, 5, 1, self.learning_rate, "C1"))
self.layers.append(ops.ReLu())
self.layers.append(ops.MaxPool(2, 2, "S2"))
self.layers.append(ops.Conv2D(10, 20, 5, 1, self.learning_rate, "C3"))
self.layers.append(ops.ReLu())
self.layers.append(ops.MaxPool(2, 2, "S4"))
self.layers.append(ops.Flatten())
self.layers.append(
ops.FullyConnected(500, 10, self.learning_rate, "F5"))
self.layers.append(ops.Softmax())