BackProgation Neural network on GPU
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Tiki Tiki
on 3 Aug 2018
Reopened: Walter Roberson
on 22 Dec 2018
Hi everyone,
Can you help me how to write backprogation in neural network on GPU?
I assume that my data is big, and number of input, hidden, output neuron are 784, 1024 and 10. this like MNIST data.
I write code manually, not use function in neural network tools.
I wonder about update weight is not parallel, so How can use GPU here?
Thanks so much.
2 Comments
Joss Knight
on 3 Aug 2018
Nobody is going to be able to answer your question in its current form. It's impossible to tell what help you need. If you don't know how to use the GPU in MATLAB, then read the documentation on that. If you don't know how to write the equations for backpropagation then you should be specific about what operation you want to backpropagate through. To get help, you need to be specific, and you need to provide some example code.
Accepted Answer
Diwakar Ravichandran
on 8 Aug 2018
Hi Tiki,
As I try to understand you want to implement back propagation by hard coding the variables. To do the same you have to know the back propagation algorithm and understand how it works. You cant code on a GPU you code and the process runs on a GPU.
This article online explains what back propagation is as mentioned below,
Hope this helps,
Cheers!
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