Transfer Learning : Leveraging the Capability of Pre-Trained Models Across Different Domains.

Format:

Book

Author/Creator:

P.P. Abdul Majeed, Anwar.

Language:

English

Physical Description:

1 online resource (128 pages)

Edition:

1st ed.

Place of Publication:

London : IntechOpen, 2025.

Summary:

This edited volume explores the potential of transfer learning in advancing artificial intelligence (AI) across diverse domains.Transfer learning enables AI systems to leverage knowledge gained from one task to enhance performance in another, significantly reducing data requirements and training time while improving model efficiency.

Contents:

Transfer Learning - Leveraging the Capability of Pre-trained Models Across Different Domains

Contents

Preface

Chapter1 Introductory Chapter: Transfer Learning - Leveraging the Capability of Pre-trained Models across Different Domains

Chapter2 Transfer Learning and Domain Adaptation inTelecommunications

Chapter3 Transfer Learning for Non-Invasive BCI EEG Brainwave Decoding

Chapter4 Quantum Machine Learning Classifier and Neural Network Transfer Learning

Chapter5 Inferring Food Preferences and Dietary Structures of the Americans withTransfer Learning

Chapter6 Enhancing Safety and Efficiency through ExplainableTransfer Learning.

Notes:

Description based on publisher supplied metadata and other sources.