Now that we have seen a neural network in action and have gained a basic understanding of how it works by looking over the code, let's dig a little bit deeper into some of the concepts, such as the logistic cost function and the backpropagation algorithm that we implemented to learn the weights.

The logistic cost function that we implemented as the `_compute_cost`

method is actually pretty simple to follow since it is the same cost function that we described in the logistic regression section in Chapter 3, *A Tour of Machine Learning Classifiers Using scikit-learn*:

Here, is the ...

Start Free Trial

No credit card required