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Python pybrain深度信念错误-“;属性错误:';非类型';对象没有属性';印度'&引用;_Python_Pybrain - Fatal编程技术网

Python pybrain深度信念错误-“;属性错误:';非类型';对象没有属性';印度'&引用;

Python pybrain深度信念错误-“;属性错误:';非类型';对象没有属性';印度'&引用;,python,pybrain,Python,Pybrain,我正在尝试使用一个递归神经网络和深层信念来训练它。这是我的密码: net = RecurrentNetwork() net.addInputModule(LinearLayer(2, name='visible')) net.addModule(SigmoidLayer(30, name='hidden1')) net.addModule(SigmoidLayer(30, name='hidden2')) net.addModule(SigmoidLayer(30, name='hidden3'

我正在尝试使用一个递归神经网络和深层信念来训练它。这是我的密码:

net = RecurrentNetwork()
net.addInputModule(LinearLayer(2, name='visible'))
net.addModule(SigmoidLayer(30, name='hidden1'))
net.addModule(SigmoidLayer(30, name='hidden2'))
net.addModule(SigmoidLayer(30, name='hidden3'))
net.addModule(SigmoidLayer(30, name='hidden4'))
net.addModule(SigmoidLayer(30, name='hidden5'))
net.addModule(SigmoidLayer(30, name='hidden6'))
net.addModule(SigmoidLayer(30, name='hidden7'))
net.addModule(SigmoidLayer(30, name='hidden8'))
net.addModule(SigmoidLayer(30, name='hidden9'))
bias = BiasUnit('bias')
net.addModule(bias)
net.addOutputModule(LinearLayer(1, name='out'))
net.addConnection(FullConnection(net['visible'], net['hidden1'], name='c1'))
net.addConnection(FullConnection(net['hidden1'], net['hidden2'], name='c2'))
net.addConnection(FullConnection(net['hidden2'], net['hidden3'], name='c3'))
net.addConnection(FullConnection(net['hidden3'], net['hidden4'], name='c4'))
net.addConnection(FullConnection(net['hidden4'], net['hidden5'], name='c5'))
net.addConnection(FullConnection(net['hidden5'], net['hidden6'], name='c6'))
net.addConnection(FullConnection(net['hidden6'], net['hidden7'], name='c7'))
net.addConnection(FullConnection(net['hidden7'], net['hidden8'], name='c8'))
net.addConnection(FullConnection(net['hidden8'], net['hidden9'], name='c9'))
net.addConnection(FullConnection(net['hidden9'], net['out'], name='c10'))
net.addConnection(FullConnection(net['bias'], net['hidden1'], name='b1'))
net.addConnection(FullConnection(net['bias'], net['hidden2'], name='b2'))
net.addConnection(FullConnection(net['bias'], net['hidden3'], name='b3'))
net.addConnection(FullConnection(net['bias'], net['hidden4'], name='b4'))
net.addConnection(FullConnection(net['bias'], net['hidden5'], name='b5'))
net.addConnection(FullConnection(net['bias'], net['hidden6'], name='b6'))
net.addConnection(FullConnection(net['bias'], net['hidden7'], name='b7'))
net.addConnection(FullConnection(net['bias'], net['hidden8'], name='b8'))
net.addConnection(FullConnection(net['bias'], net['hidden9'], name='b9'))
net.addConnection(FullConnection(net['bias'], net['out'], name='b10'))
net.sortModules()
trainer = DeepBeliefTrainer(net, ds)
trainer.trainEpochs(epochs=30)
print(trainer)
answer = (net.activate([1,1]))
print(answer)
我得到的错误是:

Traceback (most recent call last):
  File "/Users/spudzee1111/Desktop/Code/YTAcademy/pyBrainClassifier.command", line 80, in <module>
    trainer.trainEpochs(epochs=30)
  File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/PyBrain-0.3.3-py3.4.egg/pybrain/supervised/trainers/trainer.py", line 37, in trainEpochs
    self.train(*args, **kwargs)
  File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/PyBrain-0.3.3-py3.4.egg/pybrain/unsupervised/trainers/deepbelief.py", line 101, in train
    biascon = FullConnection(bias, hidden)
  File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/PyBrain-0.3.3-py3.4.egg/pybrain/structure/connections/full.py", line 17, in __init__
    Connection.__init__(self, *args, **kwargs)
  File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/PyBrain-0.3.3-py3.4.egg/pybrain/structure/connections/connection.py", line 37, in __init__
    self.outSliceTo = outmod.indim
AttributeError: 'NoneType' object has no attribute 'indim'
回溯(最近一次呼叫最后一次):
文件“/Users/spudzee1111/Desktop/Code/YTAcademy/pyBrainClassifier.command”,第80行,在
培训师.培训时段(时段=30)
文件“/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site packages/PyBrain-0.3.3-py3.4.egg/PyBrain/supervised/trainers/trainer.py”,第37行,培训时代
自行列车(*args,**kwargs)
文件“/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site packages/PyBrain-0.3.3-py3.4.egg/PyBrain/unsupervised/trainers/deepbelience.py”,第101行,培训中
biascon=全连接(偏置,隐藏)
文件“/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site packages/PyBrain-0.3.3-py3.4.egg/PyBrain/structure/connections/full.py”,第17行,在__
连接。_u初始化(self,*args,**kwargs)
文件“/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site packages/PyBrain-0.3.3-py3.4.egg/PyBrain/structure/connections/connection.py”,第37行,在__
self.outSliceTo=outmod.indim
AttributeError:“非类型”对象没有属性“indim”

我试着查看产生错误的代码(connection.py,full.py,…),但我无法推断出任何东西,因为我不熟悉很多算法。如果由于模块/连接的命名而发生这种情况,我不会感到惊讶,因为有一个类似的问题,需要我将输入层重命名为“可见”来修复它。

您可能是对的,因为错误表明您没有定义输出模块。您可能是对的,因为错误表明您没有定义输出模块。