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You've seen 2D convolution — a filter sliding over an image. This video shows what changes when you add a third dimension: the ...

This video explains how Convolutional Neural Networks (CNNs) work for image recognition and computer vision, starting from a ...

Ever wondered why a 1x1 filter is even a thing? In this video, we break down 1x1 convolutions from scratch — starting with the ...

Learn for free on Brilliant for a full 30 days: https://brilliant.org/GalLahat/ . You'll also get 20% off an annual Premium subscription.

Why does a Transformer classify this cat as a cat… while a ResNet calls it a macaw? In this video we break down one of the ...

... one frame 11:14 The speed problem #convolution #math #imageprocessing TAGS convolution explained, dice sum probability, ...

Understand how upsampling works in decoder networks for image segmentation. This video explains encoder-decoder ...

In this video, we understood the core building blocks of a convolutional neural network. We started with convolution and saw how ...

Strided convolutions are a core concept in deep learning and convolutional neural networks (CNNs). In this video, we explain ...

Deep Learning Foundations Playlist (start here ...

In this video, we break down the Inception Network — one of the most elegant architectures in deep learning. We start with a ...

Learn 1x1 Convolution in CNNs and understand how Networks in Networks (NiN) changed modern deep learning architectures.

Ever wonder how a computer learns to tell a dog from a cat? This video breaks down the inner workings of a Convolutional Neural ...

In this video, we break down the AlexNet convolutional neural network architecture layer by layer. We cover convolutions, pooling, ...

This video is about the 1D Convolutional Neural network and explains how is it different from the 2D Convolution Neural network ...

How do you calculate the output size of a CNN layer? In Part 11 of my Machine Learning Exam Prep series, we cover ...

Convolution looks intimidating until you see what it is doing. In this visual lesson, we build convolution from the ground up using ...

In this video, we take a look at depthwise separable convolutions. What is it? How does it work? Why do it? Code included!

Deep Learning Foundations Playlist (Start Here): https://youtube.com/playlist?list=PLabDc6tGujKbJWyh9EGsvE5g9rSXomjhC ...

Part of: https://github.com/zjost/intro-to-gnns-course.