Fine-Tuning ViT Classifier with Custom Data for Image Classification

Fine-Tuning ViT Classifier with Custom Data for Image Classification

Learn how to fine-tune a Vision Transformer (ViT) model using your own dataset in this 19-minute tutorial. Explore the process of model fine-tuning as part of a larger image classification project. Follow along with the provided Jupyter notebook to gain hands-on experience in adapting pre-trained ViT models for custom image classification tasks. Discover practical techniques for leveraging transfer learning to improve model performance on specific datasets. Ideal for machine learning enthusiasts and data scientists looking to expand their skills in computer vision and deep learning.