Deep Learning in Python

##Chapter 1: What is a neural network?

Specifically, neurons are the perfect model for a yes / no, true / false, 0 / 1 type of problem. We call this "binary classification" and th machine learnng analogy would be the "logistic regression" algorithm.

The above image is pictorial representation of the logistic regression model. It takes as inmput x1, x2, and x3 which you can imagine as the outputs of other neurons or some other input signal (i.e. the visual receptors in your eyes or the mechanical receptors in your fingertips), and outputs another signal which is a combination of  these inputs, weighted by the strength of those input neurons to this output neuron.

Becaise we're going to have to eventually deal with actual numbers and formulas, let's look at how we can calculate y from x.


y = sigmoid(w1*x1 + w2*x2 + w3*x3)