Skip to Content
Hands-On Mathematics for Deep Learning
book

Hands-On Mathematics for Deep Learning

by Jay Dawani
June 2020
Intermediate to advanced
364 pages
13h 56m
English
Packt Publishing
Content preview from Hands-On Mathematics for Deep Learning

Particle swarm optimization

This algorithm uses the concept of swarm intelligence, where you have a school of fish or a flock of birds. Let's suppose they are trying to find some food. They arrive at an area and spread out a bit, starting to look for food individually. When one of them finds food, it lets the others know so that they can join in.

Each individual in the population knows its current position and velocity and only keeps track of the previous best positions it has visited. The velocity vector determines the direction of the search, and if the individual has a high velocity, then it has a more explorative character, whereas if it has a low velocity, it has a more exploitative character.

At the start of each iteration, the whole ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Math for Deep Learning

Math for Deep Learning

Ronald T. Kneusel
Deep Learning with PyTorch

Deep Learning with PyTorch

Eli Stevens, Thomas Viehmann, Luca Pietro Giovanni Antiga

Publisher Resources

ISBN: 9781838647292