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Backpropagation Algorithm in neural net
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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)
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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varunm1
Moderator, Member Posts: 1,207 
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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.Regards,
Varun
https://www.varunmandalapu.com/Be Safe. Follow precautions and Maintain Social Distancing
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MarlaBot
After some time looking at the RM neural net code, I understood that it is using the JOONE engine (Java-based) with momentum backpropagation. Coming to the question 2, the optimization is local optimization (converge to optimal local minima) based on momentum.
@IngoRM anything to add here?
Hope this helps
Varun
https://www.varunmandalapu.com/
Be Safe. Follow precautions and Maintain Social Distancing