Learning Theory


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The Principles of Deep Learning Theory


The Principles of Deep Learning Theory

Author: Daniel A. Roberts

language: en

Publisher: Cambridge University Press

Release Date: 2022-05-26


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This volume develops an effective theory approach to understanding deep neural networks of practical relevance.

Introduction to Theories of Learning


Introduction to Theories of Learning

Author: Matthew H. Olson

language: en

Publisher: Prentice Hall

Release Date: 2012-07


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NOTE: Used books, rentals, and purchases made outside of Pearson If purchasing or renting from companies other than Pearson, the access codes for the Enhanced Pearson eText may not be included, may be incorrect, or may be previously redeemed. Check with the seller before completing your purchase. This package includes the Enhanced Pearson eText and the bound book This guide gives current and future educators practical help for rediscovering the value, potential, richness, and adventure of a diverse classroom-while developing the capacity to professionally address the differential learning and transition needs of culturally and linguistically diverse (CLD) students. Ideal for pre- and in-service teachers, district and building administrators, school specialists, and paraprofessionals, it presents the latest tools, procedures, strategies, and ideas for ensuring effective teaching and learning for students of any native language. Included are new ways to reach and maximize relationships with parents, caregivers, and extended family members by partnering with them in appropriate pedagogical practices. The new Third Edition of Mastering ESL/EF Methods includes illustrated concepts; global connections; tips for practice in the EFL classroom; a revised framework for the conceptual definitions of approach method, strategy, and technique; an expanded Glossary; interactive video links; a revised discussion of dual language programs; and an overview of program model effectiveness. The Enhanced Pearson eText features embedded videos. Improve mastery and retention with the Enhanced Pearson eText* The Enhanced Pearson eText provides a rich, interactive learning environment designed to improve student mastery of content. The Enhanced Pearson eText is: Engaging. The new interactive, multimedia learning features were developed by the authors and other subject-matter experts to deepen and enrich the learning experience. Convenient. Enjoy instant online access from your computer or download the Pearson eText App to read on or offline on your iPad® and Android® tablet.* Affordable. The Enhanced Pearson eText may be purchased stand-alone or with a loose-leaf version of the text for 40-65% less than a print bound book. * The Enhanced eText features are only available in the Pearson eText format. They are not available in third-party eTexts or downloads. *The Pearson eText App is available on Google Play and in the App Store. It requires Android OS 3.1-4, a 7" or 10" tablet, or iPad iOS 5.0 or later. 0133832228 / 9780133832228 Mastering ESL/EFL Methods: Differentiated Instruction for Culturally and Linguistically Diverse (CLD) Students with Enhanced Pearson eText -- Access Card Package Package consists of: 0133594971 / 9780133594973 Mastering ESL/EFL Methods: Differentiated Instruction for Culturally and Linguistically Diverse (CLD) Students 0133827674 / 9780133827675 Mastering ESL/EFL Methods: Differentiated Instruction for Culturally and Linguistically Diverse (CLD) Students, Enhanced Pearson eText -- Access Card

Learning Theory


Learning Theory

Author: Felipe Cucker

language: en

Publisher: Cambridge University Press

Release Date: 2007-03-29


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The goal of learning theory is to approximate a function from sample values. To attain this goal learning theory draws on a variety of diverse subjects, specifically statistics, approximation theory, and algorithmics. Ideas from all these areas blended to form a subject whose many successful applications have triggered a rapid growth during the last two decades. This is the first book to give a general overview of the theoretical foundations of the subject emphasizing the approximation theory, while still giving a balanced overview. It is based on courses taught by the authors, and is reasonably self-contained so will appeal to a broad spectrum of researchers in learning theory and adjacent fields. It will also serve as an introduction for graduate students and others entering the field, who wish to see how the problems raised in learning theory relate to other disciplines.