本文整理匯總了Python中rbm.RBM.train_CD方法的典型用法代碼示例。如果您正苦於以下問題:Python RBM.train_CD方法的具體用法?Python RBM.train_CD怎麽用?Python RBM.train_CD使用的例子?那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類rbm.RBM
的用法示例。
在下文中一共展示了RBM.train_CD方法的1個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: pretrainRBM
# 需要導入模塊: from rbm import RBM [as 別名]
# 或者: from rbm.RBM import train_CD [as 別名]
def pretrainRBM(self,trainset):
trainv = np.mat(trainset[1]) # 1xn
vlen = trainv.shape[1]
trainnum = len(trainset)
hlen = 500
weights = []
print "vlen = %d" %(vlen)
print "Trainnum = %d" %(trainnum)
for i in range(self.nlayers):
rbm = RBM(vlen,hlen)
T,e = 3,0.05
if i == 0:
traindata = trainset
else:
traindata = outdata
outdata = np.zeros((trainnum,hlen))
for j in range(trainnum):
print "layer:%d CD sample %d..." %(i,j)
trainv = np.mat(traindata[j])
rbm.train_CD(trainv,T,e)
outdata[j] = np.mat(rbm.sample(rbm.calc_forward(trainv))) # 1xhlen
self.rbm_layers.append(rbm)
weights.append(rbm.W)
vlen = hlen
# hlen -= 100
dump_data("data/dbn.pkl",weights)
print "========= pretrainRBM complete ==========="