Transfer learning reuses existing ML models for new tasks, speeding up development and enhancing performance. It reduces data requirements for training ML models on new tasks, facilitating quicker ...

Cathy Beck is the assistant superintendent in Summit County, CO. She is the author of “Easy and Effective Professional Development,” and “Leading ELL Students to Success: Strategies for Providing ...

Today, artificial intelligence programs can recognize faces and objects in photos and videos, transcribe audio in real-time, detect cancer in x-ray scans years in advance, and compete with humans in ...

A vital topic in higher education is transfer of learning, which is generally defined as the ability to take something learned in one context and apply it in another. Transfer has been researched ...

Over the past decade, “big data” has become Silicon Valley’s biggest buzzword. When they’re trained on mind-numbingly large data sets, machine learning (ML) models can develop a deep understanding of ...

This article is published by AllBusiness.com, a partner of TIME. Transfer learning is a machine learning technique that allows a model trained on one task to be repurposed or fine-tuned for a related ...

Transfer learning is a machine learning technique that allows a model trained on one task to be repurposed or fine-tuned for a related task, drastically reducing the amount of data and computational ...