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Backpropagation Algorithm in neural net

User: "ssv112"
New Altair Community Member
Updated by Jocelyn
Hello,
I am building a classification model using Neural Network operator. I want to know which backpropagation algorithm is used i this operater for weight update and reducing the error ( while training) . Like in matlab we have trainbfg , traincgf...
What is used here? and is this algorithm takes global minima or local minima  ( for minimum error)



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    User: "varunm1"
    New Altair Community Member
    Accepted Answer
    Are you asking about the Deep Learning (H20 based) operator or the deep learning extension? If it is  about the deep learning operator (H20) it is a feed forward network with SGD based back propagation. The difference between a neural network operator and  deep learning operator is it is highly customizable with different activations and  regularizations. For RNN and CNN, we have deep learning extension which needs to be installed from marketplace.