11. Consider an FNN with p input features, one hidden layer with N units and activation function σ1, and one unit on the output layer with activation function σ2. The input-output function is given by N (Σ Wonor (Σ f(x) = 02 Σ Won 01 Σ WnmXm+bn + bo m=1 bm) + b). ») Calculate the gradient of f(x) w.r.t. the model parameters. Hint: use the chain rule.

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A: The gradient of f(x,y) is given by:

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A:

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Q: 25. N= ƏN ди 7 p+q p+r ƏN до p = u + vw, q = v + uw, r = w + uo; ƏN 2, v = 3, w = 4 дw when u =

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A:

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A:

Q: f (x, y) ~ bo + b1,0(x − 1)+b0,1(y−2)+ b2,0 (x - 1)² + b₁,1(x − 1)(y-2) + bo,2(y − 2)² +…...

A: We find the Taylor series of the given function

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A: The tree can be created by using the partial derivative. Here, x = t, y = -2t, z = -3t and…

Q: Find the directional derivative Du f(p) of the following function f

A: Given

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A: Since you have posted multiple question in this question which are nt interlinked so i have solved…

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A: The given function whose gradient is to be calculated at a given point is:

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