August 2017
Intermediate to advanced
288 pages
8h 6m
English
Logistic regression serves as a building block for complex neural network models using sigmoid as an activation function. The logistic function (or sigmoid) can be represented as follows:
The preceding sigmoid function forms a continuous curve with a value bound between [0, 1], as illustrated in the following screenshot:

The formulation of a logistic regression model can be written as follows:
Here,