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Chapter 6, Section 22.214.171.124 Page 187by Lalit Kumar
A line in first paragraph says "Defining P(y=1|x)=sigmoid(z) is equivalent to defining P(y=1|x) = softmax(z)1 with two-dimensional z and z1=0."
Could anybody help me understand this line?
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Chapter 10, equation 10.21by Kasi Jaswin
I think the first of the right hand side of the eqaution 10.21 is wrong ? Has anyone worked it out and discovered the mistake ?
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Chapter 2, Section 2.12 Page 47by Abhinaw Raj
After Equation 2.67, the new paragraph says that since we're using the same matrix D to decode all the points, we can no longer consider the points in isolation. Then the author uses the Frobenius norm of the matrix instead of the L2 norm used before. So, why is that?
Also, what are the limits of summation in the norm and how are we defining the transformation on a scalar, ie r(x(i))j
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How to derive equation (6.23) from (6.22) ?by Fan Li
I have a question about the sigmoid function as the question.