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Conquerer_Aegon t1_ix4a0oq wrote

What is the approximate proportion of the classes in the dataset?
Have you tried changing the no of hidden layers and activation function? What library are you using?

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loly0ss t1_ix4c4ix wrote

Yeah I've trid with no hidden layers and 2 hidden layers still the same. I've also tried Relu and softmax btu sigmoid was better. It's the mnist dataset, I'm trying to predict if the label is 1 or not 1. Since labels of 1 are 10% of the dataset. I reduced the dataset to around 40/60 , so 40% are labeled one and 60% are not ones, which I encoded them to 0.

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