01_week3_
quiz Shallow Neural Networks
1。第 1 個問題
Which of the following are true? (Check all that apply.)
a[2] denotes the activation vector of the 2nd
X
X
a[2](12) denotes activation vector of the 12th layer on the 2nd
a4[2] is the activation output by the 4th neuron of the 2nd
a4[2] is the activation output of the 2nd layer for the 4th
a[2](12) denotes the activation vector of the 2nd layer for the 12th
answer：（A,C,D,E）
6。第 6 個問題
Suppose you have built a neural network. You decide to initialize the weights and biases to be zero. Which of the following statements is true?
Each neuron in the first hidden layer will perform the same computation. So even after multiple iterations of gradient descent each neuron in the layer will be computing the same thing as other neurons.
Each neuron in the first hidden layer will perform the same computation in the first iteration. But after one iteration of gradient descent they will learn to compute different things because we have “broken symmetry”.
Each neuron in the first hidden layer will compute the same thing, but neurons in different layers will compute different things, thus we have accomplished “symmetry breaking” as described in lecture.
The first hidden layer’s neurons will perform different computations from each other even in the first iteration; their parameters will thus keep evolving in their own way.
answer(A, reason: because its symmetry)
9。第 9 個問題
Consider the following 1 hidden layer neural network:
Which of the following statements are True? (Check all that apply).
W[1]
b[1]
W[1]
b[1]
W[2]
b[2]
W[2]
b[2]
answer(B,C,E,H)
第10題看不懂為什麼是m，如果有知道原因的麻煩留個原因