Deep learning on Windows : building deep learning computer vision systems on Microsoft Windows

Deep learning on Windows : building deep learning computer vision systems on Microsoft Windows / Thimira Amaratunga.

Build deep learning and computer vision systems using Python, TensorFlow, Keras, OpenCV, and more, right within the familiar environment of Microsoft Windows. The book starts with an introduction to tools for deep learning and computer vision tasks followed by instructions to install, configure, and...

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Bibliographic Details
Main Author: Amaratunga, Thimira
Format: eBook
Language:English
Published: [Place of publication not identified] : Apress, 2021.
Subjects:
Machine learning.
Computer vision.
Microsoft software.
Machine learning
Computer vision
Microsoft software
Online Access:Click for online access
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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