April 2018
Intermediate to advanced
334 pages
10h 18m
English
Content preview from Reinforcement Learning with TensorFlow
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Steps to solve logistic regression using gradient descent
Putting together all the building blocks we've just covered, let's try to solve a binary logistic regression with two input features.
The basic steps to compute are:
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Calculate
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Calculate
, the predicted output -
Calculate the cost function:
Say we have two input features, that is, two dimensions and m samples dataset. Therefore, the following would be the case:
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Weights and bias ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.