ConvNeXt: A ConvNet for the 2020s – Paper Explained (with animations)

Linear algebra with Transformers – Paper Explained

How do Vision Transformers work? – Paper explained | multi-head self-attention & convolutions

ConvNeXt: A ConvNet for the 2020s | Paper Explained

How large language models work, a visual intro to transformers | Chapter 5, Deep Learning

MAMBA and State Space Models explained | SSM explained

Masked Autoencoders Are Scalable Vision Learners – Paper explained and animated!

Understanding AI from Scratch – Neural Networks Course

PR-366: A ConvNet for the 2020s

Vision Transformer Basics

Diffusion models explained. How does OpenAI's GLIDE work?

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Paper Explained)

What are Transformer Models and how do they work?

Implementing ConvNext in Keras & Introduction to Time Series

How Deep Neural Networks Work - Full Course for Beginners

[Paper Review] Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Attention in transformers, visually explained | Chapter 6, Deep Learning

Vision Transformer and its Applications

ConvNet beats Vision Transformers (ConvNeXt) Paper explained

ConvNeXt: A ConvNet for the 2020s

What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata