Fine-Tuning ViT Classifier with Custom Data - Inference for Images and Videos
The Machine Learning Engineer via YouTube
Get 20% off all career paths from fullstack to AI
Learn the Skills Netflix, Meta, and Capital One Actually Hire For
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Learn how to fine-tune a Vision Transformer (ViT) model with your own dataset in this 16-minute tutorial. Focus on model inference with images and videos as you explore the practical application of ViT classifiers. Access the provided GitHub notebook to follow along and gain hands-on experience in implementing image and video classification techniques. Dive into the world of machine learning and data science as you enhance your skills in fine-tuning and deploying ViT models for real-world applications.
Syllabus
LLMOPS :Fine Tune ViT classifier with your own Data (Inference) #machinelearning #datascience
Taught by
The Machine Learning Engineer