April 2019
Beginner to intermediate
252 pages
4h 40m
English
While building our neural network, our actual goal is to build the best possible solution, and not to get stuck with a sub-optimal one. We'll need to run a neural network multiple times.
Consider this error graph as an example:

This is a graph depicting the amount of errors in different solutions. The Global Solution is the best possible solution and is really optimal. A Sub-Optimal Solution is a solution that terminates, gets stuck, and no longer improves, but it isn't really the best solution.
Read now
Unlock full access