CS 451 Quiz 29
Shallow neural nets
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In the updated notation for neural nets, superscripts *
In the updated notation, which of the following is considered a 3-layer neural net? *
Stacking up all training examples as column vectors from left to right in a matrix X allows us to do forward propagation in vectorized form without any transpose operations *
For hidden layers, which activation function usually works best? Order from best (first) to worst (last): *
Why do we need non-linear activation functions? *
Suppose g(z) = a. Which activation function has derivative g'(z) = 1 - a^2 ? *
Which of the following is NOT part of the VECTORIZED backprop algorithm? *
I'm still on campus and attending class today and I'm happy to receive 3 points for that :) *
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