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Usual gradient descent will get stuck at a neighborhood minimal instead of a global least, leading to a subpar network. In typical gradient descent, we choose all our rows and plug them in the exact same neural network, Have a look at the weights, after which you can change them.Synthesis of soundfields via irregular loudspeaker arrays determined b