Transfer Learning
A machine learning method where a model developed for a task is reused as the starting point for a model on a second task.
Description
Transfer Learning is a machine learning technique where knowledge gained while solving one problem is applied to a different but related problem. For example, knowledge gained while learning to recognize cars could apply when trying to recognize trucks. This approach is particularly valuable when the new task has limited training data.
Examples
- 🖼️ Using ImageNet pre-trained models for custom image classification
- 🔤 Fine-tuning BERT for specific NLP tasks
Applications
Related Terms
Featured
TurboLearn AI
AI Note Taker & Study Tools
Blackbox AI
Accelerate development with Blackbox AI's multi-model platform
Abacus AI
The World's First Super Assistant for Professionals and Enterprises
AI PDF Assistant
AI PDF Assistant is an intelligent recommendation tool
Animon AI
Create anime videos for free
Un AI my text
“Where AI Gets Its Human Touch.”
ChatGPT Atlas
The browser with ChatGPT built in
Hailuo AI
AI Video Generator from Text & Image
Kimi AI
Kimi AI - K2 chatbot for long-context coding and research
Winston AI
The most trusted AI detector
Genspark AI
Your All-in-One AI Workspace
