Image Classification Using Vision Transformers on Google Colab

Learn to implement and train Vision Transformers (ViTs) for image classification tasks in this 27-minute tutorial that demonstrates the complete workflow using Google Colab. Follow along with hands-on guidance through environment setup, model implementation, custom dataset integration, training procedures, and model evaluation. Access the complete source code through the provided GitHub repository to build your own image classification system using state-of-the-art transformer architecture. Master practical machine learning concepts while working in the accessible Google Colab environment, with step-by-step instructions suitable for both beginners and intermediate practitioners interested in computer vision applications.