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What are Convolutional Neural Networks (CNNs)?

IBM Technology

Convolutional neural networks, or CNNs, are distinguished from other neural networks by their superior performance with image, ...

Convolutional Neural Networks (CNNs) explained

deeplizard

In this video, we explain the concept of convolutional neural networks, how they're used, and how they work on a technical level.

Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs)

StatQuest with Josh Starmer

One of the coolest things that Neural Networks can do is classify images, and this is often done with a type of Neural Network ...

Convolutional Neural Networks Explained (CNN Visualized)

Futurology — An Optimistic Future

Throughout this deep learning series, we have gone from the origins of the field and how the structure of the artificial neural ...

But what is a convolution?

3Blue1Brown

Other videos I referenced Live lecture on image convolutions for the MIT Julia lab https://youtu.be/8rrHTtUzyZA Lecture on ...

CNN: Convolutional Neural Networks Explained - Computerphile

Computerphile

Years of work down the drain, the convolutional neural network is a step change in image classification accuracy. Image Analyst ...

Simple explanation of convolutional neural network | Deep Learning Tutorial 23 (Tensorflow & Python)

codebasics

A very simple explanation of convolutional neural network or CNN or ConvNet such that even a high school student can ...

MIT 6.S191: Convolutional Neural Networks

Alexander Amini

MIT Introduction to Deep Learning 6.S191: Lecture 3 Convolutional Neural Networks for Computer Vision Lecturer: Alexander ...

Machine Learning MCQs Part 5 | Neural Networks | Prepare for Exams! By @professorrahuljain

Arihant Online Academy

Welcome to the fifth part of our Machine Learning MCQ series! In this video, we dive deep into multiple-choice questions focused ...

Introducing convolutional neural networks (ML Zero to Hero - Part 3)

TensorFlow

In part three of Machine Learning Zero to Hero, AI Advocate Laurence Moroney (lmoroney@) discusses convolutional neural ...

MIT 6.S191 (2023): Convolutional Neural Networks

Alexander Amini

MIT Introduction to Deep Learning 6.S191: Lecture 3 Convolutional Neural Networks for Computer Vision Lecturer: Alexander ...

Why do Convolutional Neural Networks work so well?

Algorithmic Simplicity

While deep learning has existed since the 1970s, it wasn't until 2010 that deep learning exploded in popularity, to the point that ...

How convolutional neural networks work, in depth

Brandon Rohrer

Part of the End-to-End Machine Learning School Course 193, How Neural Networks Work at https://e2eml.school/193 slides: ...

All Convolution Animations Are Wrong (Neural Networks)

Animated AI

All the neural network 2d convolution animations you've seen are wrong. Check out my animations: https://animatedai.github.io/

Convolutional Neural Networks from Scratch | In Depth

far1din

Visualizing and understanding the mathematics behind convolutional neural networks, layer by layer. We are using a model ...

Visualizing Convolutional Neural Networks | Layer by Layer

far1din

Visualizing convolutional neural networks layer by layer. We are using a model pretrained on the mnist dataset. ▻ SUPPORT ...

How Convolutional Neural Networks work

Brandon Rohrer

Part of the End-to-End Machine Learning School Course 193, How Neural Networks Work at https://e2eml.school/193 A gentle ...

But what is a neural network? | Chapter 1, Deep learning

3Blue1Brown

For those who want to learn more, I highly recommend the book by Michael Nielsen introducing neural networks and deep ...

Lecture 5 | Convolutional Neural Networks

Stanford University School of Engineering

In Lecture 5 we move from fully-connected neural networks to convolutional neural networks. We discuss some of the key ...

Convolutional Neural Network from Scratch | Mathematics & Python Code

The Independent Code

In this video we'll create a Convolutional Neural Network (or CNN), from scratch in Python. We'll go fully through the mathematics ...