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A implementation of feedforward neural networks based on wildml implementation

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currently we can only have the same activation function for all layers. is it normal for FNN or the option is just missing?

There are problems when we have many output nodes. As you can see in the tests, one of them is skipped because it's not possible to find the good result...

bug

from the tests, it seems that we have one output node

the iterations parameter litterally means that it will do X iterations. is there a way to know that the model has converged and stop before?