EmperorOfChina

how do you fix it buddy, could you please help me?

@gemengsoftware @zhr1201 Please change "SENN.py" line110 from `targets = tf.concat( [tf.reshape(0, speech_f[i][self.N_IN - 1][0:self.NEFF], [1, self.NEFF]) for i in range(0, self.batch_size, 1)])` to `targets = tf.concat( [tf.reshape( speech_f[i][self.N_IN - 1][0:self.NEFF],...

@zuie21 1.MatConvNet 2.Refer to DnCNN TrainingCodes 3.Using less layers is not related to overfitting I think. 4.Read the papper 5.feature descriptor? here? are you a 医生吗

Using torch 0.3.1 

It seems that input image size must be less than 512??

解决了吗老哥

I have the same issue,

@YangBain already do that, but it didn't work