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Pages 311-338 Citation previewĭeep Learning on Windows Building Deep Learning Computer Vision Systems on Microsoft Windows - Thimira Amaratungaĭeep Learning on Windows Building Deep Learning Computer Vision Systems on Microsoft Windowsĭeep Learning on Windows: Building Deep Learning Computer Vision Systems on Microsoft Windows Thimira Amaratunga Nugegoda, Sri Lanka ISBN-13 (pbk): 978-1-4842-6430-0 Ĭopyright © 2021 by Thimira Amaratunga This work is subject to copyright. Introduction to Generative Adversarial Networks (Thimira Amaratunga).Pages 253-286īasics of Reinforcement Learning (Thimira Amaratunga).Pages 287-310īack Matter. Having Fun with Computer Vision (Thimira Amaratunga).Pages 233-251 Starting, Stopping, and Resuming Learning (Thimira Amaratunga).Pages 181-213ĭeploying Your Model as a Web Application (Thimira Amaratunga).Pages 215-231 Transfer Learning (Thimira Amaratunga).Pages 131-179 Visualizing Models (Thimira Amaratunga).Pages 115-130 Understanding What We Built (Thimira Amaratunga).Pages 101-114 Setting Up Your Tools (Thimira Amaratunga).Pages 33-66īuilding Your First Deep Learning Model (Thimira Amaratunga).Pages 67-100 Where to Start Your Deep Learning (Thimira Amaratunga).Pages 15-31 What Is Deep Learning? (Thimira Amaratunga).Pages 1-14
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