July 2018
Intermediate to advanced
96 pages
2h 8m
English
Content preview from Hands-On Deep Learning for Images with TensorFlow
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Softmax
In this section, we'll learn about the output activation function known as softmax. We'll be taking a look at how it relates to output classes, as well as learning about how softmax generates probability.
Let's take a look! When we're building a classifier, the neural network is going to output a stack of numbers, usually an array with one slot corresponding to each of our classes. In the case of the model we're looking at here, it's going to be digits from zero to nine. What softmax does is smooth out a big stack of numbers into a set of probability scores that all sum up to one:
Stack of numbers
This is important so that you can ...
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