There have been big improvements in image analysis over the last few years thanks to the adoption of deep learning neural networks to solve vision problems, but figuring out how to get started with them isn't easy.In this webcast Pete Warden will walk through some popular open-source tools from the academic world, and show you step-by-step how to process images with them. Starting right from downloading the source and data, setting up the dependencies and environment, compiling, and then executing the libraries as part of a program, you'll be shown how to solve your own computer vision problems.
Table of contents
- Title: How to Get Started with Deep Learning in Computer Vision
- Release date: August 2014
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 978149191410
You might also like
51+ hours of video instruction. Overview The professional programmer’s Deitel® video guide to Python development with …
Data Science from Scratch, 2nd Edition
To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, …
Deep Learning with Python Video Edition
"The clearest explanation of deep learning I have come across...it was a joy to read." Richard …
40 Algorithms Every Programmer Should Know
Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental …