Fine-Tuning ViT Classifier with Custom Data and Docker Inference - Part 4

Fine-Tuning ViT Classifier with Custom Data and Docker Inference - Part 4

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) model with your own dataset in this comprehensive tutorial. Explore the process of productionizing the model using Docker and FastAPI, gaining valuable insights into machine learning operations (MLOps). Discover practical techniques for customizing and deploying ViT classifiers, enhancing your skills in image classification and model deployment.