Using NN with parallel give me bad result
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I have three classes to classify as my test case. I will have more classes and data to use so I want to use parallel processing. However, I found that even using the same data sets and classes using parallel give me a ~33% which is like random guessing while not using it give me ~100%. Are the parameters need to change for parallel NN?
Not using parallel
Using parallel
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on 20 Aug 2021
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