Find the total number Q of tunable parameters in a general L-hidden-layer neural network, in terms of variables expressed in the layer sizes below   1 layer_sizes= [N, U_1,   ., U_L, C]   (b) Based on your answer in part (a), explain how the input dimension N and number of data points P each   contributes to Q. How is this different from kernel methods

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A: The solution for the above given question is given below:

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Q: (a) Find the total number Q of tunable parameters in a general L-hidden-layer neural network, in…

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