Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

How Convolutional Neural Networks Work

Brandon Rohrer via YouTube

Start learning Write review
Coursera Ad

Learn AI, Data Science & Business — Earn Certificates That Get You Hired

Learn More → Babbel Ad

You’re only 3 weeks away from a new language

Learn More →

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
This course explains how convolutional neural networks process images through filtering, pooling, normalization, fully connected layers, and backpropagation. It also examines when CNNs suit sound, text, and other spatially organized data.

Syllabus

Introduction
Basic ideas
Filtering
Pooling
Normalization
Fully Connected Layer
Back Propagation
Hyper Parameters
Order Matters
Spatial Matters
Conclusion

Taught by

Brandon Rohrer

Reviews

5.0 rating, based on 1 Class Central review

Start your review of How Convolutional Neural Networks Work

  • Profile image for Dr S Tamil Selvan
    Dr S Tamil Selvan @tamil
    very clear explanation and i will understand very well, It will help for further research work and writing research articles
Start learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.