Cookie Consent
Hi, this website uses essential cookies to ensure its proper operation and tracking cookies to understand how you interact with it. The latter will be set only after consent.
Read our Privacy Policy
VOCABULARY

Transfer Learning

Transfer learning is a machine learning technique where a model developed for one task is reused as the starting point for a model on a second task. This approach is particularly useful when the second task has limited data available.

How Transfer Learning Works

In transfer learning, a pre-trained model on a large dataset (like ImageNet for image tasks) is adapted for a new, related task. For instance, the feature extraction layers of a pre-trained image classification model might be reused for a new image recognition task, with only the final classification layers being trained from scratch.

Lakera LLM Security Playbook
Learn how to protect against the most common LLM vulnerabilities

Download this guide to delve into the most common LLM security risks and ways to mitigate them.

Related terms
Activate
untouchable mode.
Get started for free.

Lakera Guard protects your LLM applications from cybersecurity risks with a single line of code. Get started in minutes. Become stronger every day.

Join our Slack Community.

Several people are typing about AI/ML security. 
Come join us and 1000+ others in a chat that’s thoroughly SFW.