本文整理汇总了Python中Network.accuracy方法的典型用法代码示例。如果您正苦于以下问题：Python Network.accuracy方法的具体用法？Python Network.accuracy怎么用？Python Network.accuracy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的用法示例。
在下文中一共展示了Network.accuracy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: range
# 需要导入模块: import Network [as 别名]
# 或者: from Network import accuracy [as 别名]
cost=log_likelihood)
for m in range(100):
net.train(*train_data.get_batch(30), learning_rate = 0.01 )
xs, ys = train_data.get_batch(5)
info = net.introspect(xs, ys)
info.keys()
for i in range(20):
for m in range(1000):
net.train(*train_data.get_batch(30), learning_rate = 0.01 )
print "Training Step", i
print "Test Accuracy:", net.accuracy(*test_data)
print "Test Cost:", net.test(*test_data)
print ""
print "Network Visualization and Introspection:"
#print ""
#print "Sample Inputs:"
sample_xs, sample_ys = train_data.get_batch(30)
#vis.vis_matrix(sample_xs[:4], s2x2 = True)
full_info = net.introspect(sample_xs, sample_ys)
for layer_name in sorted(full_info.keys()):
print ""
info = full_info[layer_name]
if "ConvolutionLayer" in layer_name: