Fine-Tuning Vision Transformer for Diabetic Retinopathy Detection - Part 2

Fine-Tuning Vision Transformer for Diabetic Retinopathy Detection - Part 2

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn how to fine-tune a Vision Transformer (ViT) with a custom dataset in this 52-minute video tutorial, part of a 4-video series. Explore the process of using a pre-trained model by Google, initially trained on the ImageNet 21k dataset, and fine-tuning it with the EyeQ Dataset for Diabetic Retinopathy (DR) detection. Discover how to leverage the EyeQ Dataset, a subset of the EyePacs Dataset originally used in the Diabetic Retinopathy Detection Kaggle Competition. Access accompanying notebooks on GitHub to follow along and implement the techniques demonstrated in the video.