Implement and Train ViT From Scratch for Image Recognition - PyTorch
We're going to implement ViT (Vision Transformer) and train our implementation on the MNIST dataset to classify images! Video where I explain the ViT paper and GitHub below ↓
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ViT (Vision Transformer) - An Image Is Worth 16x16 Words (Paper Explained)
• ViT (Vision Transformer) - An Image I...
GitHub Link of the Code
https://github.com/uygarkurt/ViT-PyTorch
Notebook
https://github.com/uygarkurt/ViT-PyTo...
ViT (Vision Transformer) is introduced in the paper: "An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale"
https://arxiv.org/abs/2010.11929
What should I implement next? Let me know in the comments!
00:00:00 Introduction
00:00:09 Paper Overview
00:02:41 Imports and Hyperparameter Definitions
00:11:09 Patch Embedding Implementation
00:19:36 ViT Implementation
00:29:00 Dataset Preparation
00:51:16 Train Loop
01:09:27 Prediction Loop
01:12:05 Classifying Our Own Images
Watch video Implement and Train ViT From Scratch for Image Recognition - PyTorch online without registration, duration hours minute second in high quality. This video was added by user Uygar Kurt 29 September 2023, don't forget to share it with your friends and acquaintances, it has been viewed on our site 14,921 once and liked it 673 people.