(1) Use the Matlab code “ann*.m” as a starting point to showthat a multi-layer feedforward artificial neural network withsigmoid activation functions can be trained by the “backward errorpropagation” algorithm to map (approximate) the input-outputrelationships of an OR gate.
(2) Choose a set of two or three appropriate features and use amodified version of “ANN*.m” to develop a machine learningclassifier that differentiates music and speech clips. Showtraining process and validation results. You can assume that inboth training and validation sets, there is no overlapped music andspeech or other mixed signals.
(3) Write a short essay about 500 words on deep learning AI vsclassical neural networks.
(1) Use the Matlab code “ann*.m” as a starting point to show that a multi-layer feedforward artificial neural network wi
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