Hi, I’m using Root and TMVA for my final project and I’m having some trouble understanding how the MLP method learns. The TMVA user guide says that gradient descent is used for the loss function value minimisation and that online learning is used, but it doesn’t go into more detail than that. Does the method use stochastic gradient descent or does it just go through every event and adjusts the weights after processing each of them? I’m new to machine learning in general so feel free to correct any misconceptions you think I might have. Thanks in advance!
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