Deep Learning

Deep Learning : Engage the World Change the World

This book not only defines what deep learning is, but takes up the question of how to mobilize complex, whole-system change and transform learning for all students. New Pedagogies for Deep Learning is a global partnership that works to transform the role of teachers to that of activators who design experiences that build global competencies using real-life problem solving. It also supports schools, districts, and systems to shift practice and measure learning in authentic ways. This comprehensive strategy incorporates practical tools and processes to engage students, educators, and families in new partnerships to drive deep learning.

  • Format: Paperback | 208 pages
  • Dimensions: 177 x 254 x 15.24mm | 440g
  • Publication date: 15 Feb 2018
  • Publisher: SAGE Publications Inc
  • Imprint: Corwin Press Inc
  • Publication City/Country: Thousand Oaks, United States
  • Language: English
  • Edition Statement: First Edition
  • ISBN10: 1506368581
  • ISBN13: 9781506368580
  • Bestsellers rank: 23,574

More Books:

Deep Learning
Language: en
Pages: 548
Authors: Stephane S. Tuffery
Categories: Computers
Type: BOOK - Published: 2023-01-10 - Publisher: John Wiley & Sons

A concise and practical exploration of key topics and applications in data science In Deep Learning, from Big Data to Artificial Intelligence, expert researcher
Deep Learning
Language: en
Pages: 532
Authors: Josh Patterson
Categories: Computers
Type: BOOK - Published: 2017-07-28 - Publisher: "O'Reilly Media, Inc."

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning—e
Deep Learning Networks
Language: en
Pages: 173
Authors: Jayakumar Singaram
Categories: Technology & Engineering
Type: BOOK - Published: 2023-12-03 - Publisher: Springer Nature

This textbook presents multiple facets of design, development and deployment of deep learning networks for both students and industry practitioners. It introduc
Practical Deep Learning
Language: en
Pages: 463
Authors: Ronald T. Kneusel
Categories: Computers
Type: BOOK - Published: 2021-03-16 - Publisher: No Starch Press

Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects. If you’ve been
Deep Learning in Visual Computing
Language: en
Pages: 144
Authors: Hassan Ugail
Categories: Computers
Type: BOOK - Published: 2022-07-07 - Publisher: CRC Press

Deep learning is an artificially intelligent entity that teaches itself and can be utilized to make predictions. Deep learning mimics the human brain and provid
Grokking Deep Learning
Language: en
Pages: 475
Authors: Andrew W. Trask
Categories: Computers
Type: BOOK - Published: 2019-01-23 - Publisher: Simon and Schuster

Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Tras
The Deep Learning AI Playbook
Language: en
Pages: 352
Authors: Carlos Perez
Categories:
Type: BOOK - Published: 2017 - Publisher: Lulu.com

Deep Learning for Data Analytics
Language: en
Pages: 220
Authors: Himansu Das
Categories: Science
Type: BOOK - Published: 2020-05-29 - Publisher: Academic Press

Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety of domains including data sc
Advanced Deep Learning for Engineers and Scientists
Language: en
Pages: 294
Authors: Kolla Bhanu Prakash
Categories: Technology & Engineering
Type: BOOK - Published: 2021-07-24 - Publisher: Springer Nature

This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time applications. This book intro
Deep Learning for Targeted Treatments
Language: en
Pages: 470
Authors: Rishabha Malviya
Categories: Computers
Type: BOOK - Published: 2022-09-20 - Publisher: John Wiley & Sons

DEEP LEARNING FOR TREATMENTS The book provides the direction for future research in deep learning in terms of its role in targeted treatment, biological systems