本文整理汇总了Python中NeuralNetwork.NeuralNetwork.activate方法的典型用法代码示例。如果您正苦于以下问题：Python NeuralNetwork.activate方法的具体用法？Python NeuralNetwork.activate怎么用？Python NeuralNetwork.activate使用的例子？那么, 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.activate方法的2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: NNConfiguration
# 需要导入模块: from NeuralNetwork import NeuralNetwork [as 别名]
# 或者: from NeuralNetwork.NeuralNetwork import activate [as 别名]
'''
The Neural Network is invoked to test unclassified instances with the sunspots. (Production)
'''
'''
cnf = NNConfiguration( None,
1,
[21, 1],
11,
"./src/dataset/good_sunspot_test.dat",
"./WEIGHTS_May_12_19_35.txt")
'''
'''
nn = NeuralNetwork(cnf)
'''
nn.activate(1, 1)
###############################################################
###############################################################
#### SUN SPOT TRAINING AND TEST END #####
###############################################################
###############################################################
###############################################################
###############################################################
#### POLIO TRAINING AND TEST START #####
###############################################################
###############################################################
示例2: usage
# 需要导入模块: from NeuralNetwork import NeuralNetwork [as 别名]
# 或者: from NeuralNetwork.NeuralNetwork import activate [as 别名]
@author: newlog
'''
import sys
from NNConfiguration import NNConfiguration
from NeuralNetwork import NeuralNetwork
import time
def usage():
print "\n[?] You only have to pass the configuration file."
print "Coded by Newlog, see you console cowboys\n"
if __name__ == '__main__':
if len(sys.argv) != 2:
# The program has been invoked incorrectly
usage()
exit()
# The program has been invoked with a configuration file
nn_conf = NNConfiguration(sys.argv[1])
# Now we can build the neural network
nn = NeuralNetwork(nn_conf)
# Now we can activate the neural network
init = time.time()
nn.activate()
final = time.time()
print "[+] Execution time: %s seconds" % str(final - init)
print "[*] Well done, Neural Cowboy."