Please refer to Lecture 6 to answer this question. Select all statements that are TRUE:多项选择题

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Which of the following statements about neural networks is not true?

Consider the feedforward neural network shown in the figure below. The weights are: w1 = -0.1, w2 = -0.1, w3 = 0.2 and b = -0.1. The transfer function f is sigmoid: f(x)=1/(1+exp(-x)).  The network receives the input x = [0.5, 0.1, 0.3]. What will be the network’s output?   If the result has more than 1 decimal points, round it to 1 decimal points, otherwise just write the number. Examples:  Result              What to write 0.246               0.2 0.26                 0.3 0.6                   0.6

Question at position 40 Like decision trees, neural networks can select inputs.TrueFalse

Question at position 11 What if in a neural network implementation we use a learning rate that’s too large?Network will not convergeNetwork will convergeCan’t say

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