Millions of books in English, Spanish and other languages. Free UK delivery 

menu

0
  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional
portada Transfer Learning Through Embedding Spaces
Type
Physical Book
Year
2021
Language
English
Pages
220
Format
Hardcover
ISBN13
9780367699055
Edition No.
1

Transfer Learning Through Embedding Spaces

Mohammad Rostami (Author) · · Hardcover

Transfer Learning Through Embedding Spaces - Mohammad Rostami

Physical Book

£ 103.50

£ 115.00

You save: £ 11.50

10% discount
  • Condition: New
It will be shipped from our warehouse between Wednesday, June 26 and Monday, July 01.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.

Synopsis "Transfer Learning Through Embedding Spaces"

Recent progress in artificial intelligence (AI) has revolutionized our everyday life. Many AI algorithms have reached human-level performance and AI agents are replacing humans in most professions. It is predicted that this trend will continue and 30% of work activities in 60% of current occupations will be automated. This success, however, is conditioned on availability of huge annotated datasets to training AI models. Data annotation is a time-consuming and expensive task which still is being performed by human workers. Learning efficiently from less data is a next step for making AI more similar to natural intelligence. Transfer learning has been suggested a remedy to relax the need for data annotation. The core idea in transfer learning is to transfer knowledge across similar tasks and use similarities and previously learned knowledge to learn more efficiently. In this book, we provide a brief background on transfer learning and then focus on the idea of transferring knowledge through intermediate embedding spaces. The idea is to couple and relate different learning through embedding spaces that encode task-level relations and similarities. We cover various machine learning scenarios and demonstrate that this idea can be used to overcome challenges of zero-shot learning, few-shot learning, domain adaptation, continual learning, lifelong learning, and collaborative learning. 

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews