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ml-recall

#custom-activation

1 question from Neural Network Basics

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Question 1: Short answer

hardAI-checkedNeural Network Basics

A tiny network has one input yi=1y_i = 1, a hidden unit with transfer function x3x^3 and an output unit with transfer function sin⁡(2x)\sin(2x): netj=wijyi\mathrm{net}_j = w_{ij} y_i, yj=netj3y_j = \mathrm{net}_j^3, netk=wjkyj\mathrm{net}_k = w_{jk} y_j, yk=sin⁡(2 netk)y_k = \sin(2\,\mathrm{net}_k), and the loss is E=12(yk−d)2E = \tfrac12 (y_k - d)^2 with target d=0d = 0. For wij=0.5w_{ij} = 0.5 and wjk=2w_{jk} = 2, what is ∂E/∂wij\partial E / \partial w_{ij}? Round to 3 decimals.

a number, 3 decimals