DeepLearning
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yusugomori
Deep Learning (Python, C, C++, Java, Scala, Go)
Recently, I am learning your RBM python code. All codes are OK except the updating formula of parameters used in your contrastive_divergence function. I found that the bias vectors are...
Im trying to use python for SdA, I dont know where I need to get LogisticRegression. I have anaconda and Theano but still whenever I write: from LogisticRegression import LogisticRegression...
I converted the C code for DBN to Component Pascal and ran its analyzer over the code. It found in DBN_finetune that the variable "layer_input" was used before any values...
I am testing the code using as a X input a matrix of values between -3 to 3, (23 columns) and the pre training is generating W matrix for the...
I am using scala version of the code, but i dont know how the fine tune of stacked autoencoder is working out. What i can only see is that the...
In the finetune phase, the whole dataset is used which will cause over fitting for the model... So, I think this can be solved by: - divide the dataset into...
Such Issues are in your RBM different implementation. [python version] self.W += lr \* (numpy.dot(self.input.T, ph_sample) - numpy.dot(nv_samples.T, nh_means)) [C++ version] W[i][j] += lr \* (ph_mean[i] \* input[j] - nh_means[i]...
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Deep Learning (Python, C, C++, Java, Scala, Go)