Deep Learning on Windows: Building Deep Learning Computer Vision Systems on Microsoft Windows
Author:   Thimira Amaratunga
Publisher:   APress
Edition:   1st ed.
ISBN:  

9781484264300


Pages:   338
Publication Date:   16 December 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Deep Learning on Windows: Building Deep Learning Computer Vision Systems on Microsoft Windows


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Full Product Details

Author:   Thimira Amaratunga
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.677kg
ISBN:  

9781484264300


ISBN 10:   1484264304
Pages:   338
Publication Date:   16 December 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1: What is Deep Learning.- Chapter 2: Where to Start Your Deep Learning.- Chapter 3: Setting Up Your Tools.- Chapter 4: Building Your First Deep Learning Model.- Chapter 5: Understanding What We Built.- Chapter 6: Visualizing Models.- Chapter 7: Transfer Learning.- Chapter 8: Starting, Stopping and Resuming Learning.- Chapter 9: Deploying Your Model as a Web Application.- Chapter 10: Having Fun with Computer Vision.- Chapter 11: Introduction to Generative Adversarial Networks.- Chapter 12: Basics of Reinforcement Learning.- Appendix 1: A History Lesson – Milestones of Deep Learning.- Appendix 2: Optional Setup Steps.

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Author Information

Thimira Amaratunga is an Inventor, a Senior Software Architect at Pearson PLC Sri Lanka with over 12 years of industry experience, and a researcher in AI, Machine Learning, and Deep Learning in Education and Computer Vision domains. Thimira holds a Master of Science in Computer Science with a Bachelor's degree in Information Technology from the University of Colombo, Sri Lanka. He has filed three patents to date, in the fields of dynamic neural networks and semantics for online learning platforms. Before this, Thimira has published two books on deep learning – ‘Build Deeper: The Deep Learning Beginners’ Guide’ and ‘Build Deeper: The Path to Deep Learning’. Thimira is also the author of Codes of Interest (www.codesofinterest.com), a portal for deep learning and computer vision knowledge, covering everything from concepts to step-by-step tutorials. LinkedIn: www.linkedin.com/in/thimira-amaratunga

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