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

Offered By: The Machine Learning Engineer via YouTube

Tags

Docker Courses Machine Learning Courses Deep Learning Courses Computer Vision Courses Image Classification Courses FastAPI Courses Model Deployment Courses Fine-Tuning Courses Vision Transformers Courses LLMOps Courses

Course Description

Overview

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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.

Syllabus

LLMOps: Fine Tune ViT Classifier with your own data (Docker inference) #machinelearning


Taught by

The Machine Learning Engineer

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