本文整理汇总了Python中Network.Network.trainNetwork方法的典型用法代码示例。如果您正苦于以下问题：Python Network.trainNetwork方法的具体用法？Python Network.trainNetwork怎么用？Python Network.trainNetwork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Network.Network的用法示例。
在下文中一共展示了Network.trainNetwork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: str
# 需要导入模块: from Network import Network [as 别名]
# 或者: from Network.Network import trainNetwork [as 别名]
from Network import Network
method = str(sys.argv[1])
print "Reading data"
data = np.loadtxt("train.csv", delimiter=",")
print "Data loaded"
numData = 10000
digits = np.asarray([x[0] for x in data[:numData]])
pixels = np.asarray([x[1:] for x in data[:numData]])
testDigits = np.asarray([x[0] for x in data[numData:numData+int(.2*numData)]])
testPixels = np.asarray([x[1:] for x in data[numData:numData+int(.2*numData)]])
numHidden = 100
n = Network(pixels, digits, numHidden, testPixels, testDigits)
numIter = 30
alpha = .5
gamma = .5
beta = 1.1
delta = .01
eta = 2
eps = .001
nhat = 10
batchSize = 50
if method == 'GD':
n.trainNetwork('GD', numIter, alpha)
elif method =='ID':
n.trainNetwork('ID', numIter, alpha)
else:
n.trainNetwork('HD', numIter, gamma, beta, delta, eta, eps, nhat, batchSize)