Course Overview

Neural networks are used in machine learning models to be able to solve AI problems. 

The structure of a neural network is inspired by the way that biological neurons communicate amongst themselves in the human brain. Their power comes from the way that simple neurons are linked to make something more complex.

In this course, we'll look at what makes up a neural network, how they work, and some examples of the technologies that they are used for.

This microlearning course is an animated video, with audio narration and a multiple-choice post-assessment.

Course Objectives

By the end of the course, learners will:

  • Explore the neural network structure and how it works
  • Be able to identify the role of data in neural networks
  • Explore some examples of neural network technology

This course has a minimum of 25 learner registrations for us to provide a quotation.

Request a Quotation
Language
UK
Date last updated
4/23/2024
Duration
5 Minutes
Suitable Devices
  • PC
  • Phone
  • Tablet
Audio is Required
  • Yes
Includes Video
  • Yes
Downloadable Resources
  • No
Completion Criteria
  • Pass final test
  • Visit all pages
Pass Mark
  • 65% pass mark required
Course Technology
  • HTML5
  • SCORM 1.2
Can be customised
  • Available at an Additional Cost
Accreditation or Endorsements
  • No
Languages
  • Closed Captions
  • English
Image of a SkillStation dashboard

Let's get started

with a demo and a 30-day free trial.

Cookies

To provide you with the best experience, we use cookies. You can read the details on our

Privacy Policy.