本文整理汇总了Python中NeuralNetwork.NeuralNetwork.__init__方法的典型用法代码示例。如果您正苦于以下问题：Python NeuralNetwork.__init__方法的具体用法？Python NeuralNetwork.__init__怎么用？Python NeuralNetwork.__init__使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类NeuralNetwork.NeuralNetwork的用法示例。
在下文中一共展示了NeuralNetwork.__init__方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __init__
# 需要导入模块: from NeuralNetwork import NeuralNetwork [as 别名]
# 或者: from NeuralNetwork.NeuralNetwork import __init__ [as 别名]
def __init__(self, in_dim, hidden_dim, out_dim, activation, loss_type,
layer_num=0):
NeuralNetwork.__init__(self, activation, loss_type)
args = [self.activation, self.grad_activation]
self.layers = []
self.layers.append(FullyConnectedLayer(in_dim, hidden_dim, *args))
for _ in xrange(layer_num):
self.layers.append(FullyConnectedLayer(hidden_dim, hidden_dim, *args))
if loss_type == 'mse':
self.layers.append(FullyConnectedLayer(hidden_dim, out_dim, *args))
else:
from SoftmaxLayer import SoftmaxLayer
self.layers.append(SoftmaxLayer(hidden_dim, out_dim, *args))