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用Tensorflow实现的深度神经网络。
你好,我想请问如何在原有的模型下,在新的训练数据下,继续强化学习。
毕设要做这个,刚入坑,不太懂
您好,请问一下在guass-bin的重建过程中,act_function为什么用affine而不是guass?
即 def reconstruction(self,h):
logits = tf.matmul(h, tf.transpose(self.W)) + self.bv
prob_v=self.v_func(logits)
return logits,prob_v
您好,谢谢您的出色工作。这对我很有用。
能否使用我自制的肺结节灰度图像数据集来代替mnist数据集,从而实现有无(0,1)结节分类?
让我困惑的是,我不知道我应该把我的肺结节数据集做成什么样的格式,以至于能运行您的代码?
请您给出详细的说明!谢谢您!
你好,我用您原程序加到4层后,Mnist数据分类几乎错误,把所有类别都分为2了。如果低于4层就没这个问题。请问您试过把隐含层数加到4层吗?是否存在这个问题啊,什么原因呢
您好!
我想加入QQ群但找不到
我是初学者,你能给我解释一下微调阶段的原理吗?或者给我推荐点详细的资料吗?
您好,首先感谢您提供的代码。我想要用DBN处理一个Excel表的数据,4000行14列,每行数据是一个单元,需要根据每行14个数据输出0或1,请问x_dim,y_dim和p_dim怎么设啊?因为这个跟mnist是不一样的,代码封装得厉害,也不太清楚一维数据这时候还需不需要p_dim,求告知。
您好,请问DBN用作回归问题时,输出层的激活函数还是softmax吗,还是要用别的激活函数?我预测的数据不是在(0,1)内,用sigmiod或softmax得不到大于1的输出。
谢谢!
I am setting the line test_Y to true:
# for 'classification'
self.loss_and_acc=None # loss, train_acc, test_acc, spend_time
**self.test_Y=True# real label**
self.real_class = None
self.pred_class = None
But it still doesn't show the accuracy of test set
想用自己的图片数据集来试一下,是需要做成和MNIST一样的数据格式吗
您好,我最近需要拿訓練好的DBN各層的weight與bias以verilog實現
目前我依您的程式可以改成我需要的網路結構[x_dim, 100, 200, y_dim]=784,100,200,10
且最後輸出很好的分類正確率「Test」: accuracy = 97.71%
但還是不太清楚要在哪個部分提取各層的weight與bias
如我沒讀錯,應該是要各三層的資料為
weight = (784,100), (100,200), (200,10)
bias = (100), (200), (10)
能請您跟我說應該在哪個.py檔內,第幾行提出最後所需資料嗎? 謝謝
fault_diagnosis_TE.py运行报错,DBN初始化中没有hidden_act_func
gao@ubuntu14:~/py_work/DBN/Tensorflow_deep-belief-network-master/test$ python3 classification_MINST.py
Extracting ../dataset/MNIST_data/train-images-idx3-ubyte.gz
Extracting ../dataset/MNIST_data/train-labels-idx1-ubyte.gz
Extracting ../dataset/MNIST_data/t10k-images-idx3-ubyte.gz
Extracting ../dataset/MNIST_data/t10k-labels-idx1-ubyte.gz
Traceback (most recent call last):
File "classification_MINST.py", line 42, in
rbm_lr=1e-3)
File "../models/dbn.py", line 47, in init
self.build_model()
File "../models/dbn.py", line 89, in build_model
self.train_batch_bp=_optimization.trainer(algorithm=self.bp_algorithm).minimize(self.loss, var_list=self.parameter_list)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/training/optimizer.py", line 288, in minimize
grad_loss=grad_loss)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/training/optimizer.py", line 346, in compute_gradients
processors = [_get_processor(v) for v in var_list]
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/training/optimizer.py", line 346, in
processors = [_get_processor(v) for v in var_list]
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/training/optimizer.py", line 115, in _get_processor
if v.op.type == "ReadVariableOp":
AttributeError: 'list' object has no attribute 'op'
could you tell me how to resolve it? Thanks
stddev=np.sqrt(2 / (self.struct[-2] + self.struct[-1])),stddev这个参数是标准差,我想2是不是应该是除数
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