In this video, we’ll build a Vision Transformer (ViT) from scratch using PyTorch! 🔥
We will Learn how to process image datasets, divide images into patches, and implement a full Transformer-based model for image classification.
You will learn:
✅ Loading and transforming image datasets
✅ Creating patch embeddings for Vision Transformers
✅ Implementing Multi-Head Self-Attention (MSA)
✅ Building a Transformer Encoder for image processing
✅ Training and optimizing a ViT model
✅ Test our model with a test dataset , and predict the result
Code for the tutorial : https://ko-fi.com/s/927a88794e
You can find more computer vision tutorials in my blog page : https://eranfeit.net/blog/
You can find more Visual Language models tutorials tutorials in this playlist : https://www.youtube.com/playlist?list=PLdkryDe59y4a2PRJda-Z7M7Sod7uQKT2d
You can find more image classification tutorials in this playlist :
https://www.youtube.com/watch?v=8k6oNjl2EgE&list=PLdkryDe59y4aytIPjci6_fn3B1-QuM-Oh
~~~~~~~~~~~~~~~ recommended courses and books ~~~~~~~~~~~~~~~
A perfect course for learning modern Computer Vision with deep dive in TensorFlow , Keras and Pytorch . You can find it here : http://bit.ly/3HeDy1V
I also recommend this book, https://amzn.to/44GnlLW : "Make Your Own Neural Network - An In-depth Visual Introduction For Beginners ".
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
00:00 Introduction
00:55 Installation
04:15 Discover the dataset
06:46 How to load the dataset
15:46 How to split images to patches
30:40 Build and train VIT model
46:10 Test the model (Prediction)
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#EranFeit #imageclassification #visiontrasformers
~~~~~~~~~~~~~~ Credits ~~~~~~~~~~~~~
Music by Vincent Rubinetti
Download the music on Bandcamp: https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown
Stream the music on Spotify: https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u