Fine-Tuning ViT Classifier with Custom Data - Inference for Images and Videos
Offered By: The Machine Learning Engineer via YouTube
Course Description
Overview
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
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Computational Photography
Georgia Institute of Technology via Coursera Einführung in Computer Vision
Technische Universität München (Technical University of Munich) via Coursera Introduction to Computer Vision
Georgia Institute of Technology via Udacity