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Image Processing with Labview and Imaq Vision

Image Processing with Labview and Imaq Vision

by Thomas Klinger
350 Pages · 2015 · 19 MB · 5 Downloads · New!
" Happiness doesn't result from what we get, but from what we give. ” ― Ben Carson
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
by Aurelien Geron
856 Pages · 2019 · 36 MB · 1,059 Downloads · New!
The “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, 2nd Edition” is a great book of Machine Learning. Aurelien Geron is the author of this enlightening book. Aurelien is a machine learning consultant and trainer. He led YouTube’s video classification team from 2013 to 2016. He was also a founder and CTO of a leading Wireless ISP in France from 2002 to 2012, and also a founder and CTO of two consulting firms. It is a machine learning book, which helps you gain an intuitive understanding of the concepts and tools for building intelligent systems.
Roadside Video Data Analysis
by Ajit, Brijesh Verma, Ligang Zhang, David Stockwell
189 Pages · 2017 · 9 MB · 18 Downloads · New!
Roadside Video Data Analysis is the pattern recognition, voice recognition, transportation engineering and computer vision book which teaches the simple ways for roadside video data analysis. Brijesh Verma, Ligang Zhang, and David Stockwell are the author of this impressive book. The media industry is one of the biggest industries in the world. Billions of people are linked with this industry and millions of them are earning through it. It helps people to build a strong community and spread positivity. Although sometimes we did not get the positive messages it’s impossible to stop media. There are millions of movies, channels, videos, and shows. Every day thousands of new movies released and all of them have a separate fan base. The popularity of the media is linked with quality. The quality of video that we see today is much better a decade ago. Improvement in quality is the best way to get success and spread the message. This guide highlights different techniques for roadside video data analysis. It focuses on deep learning to resolve all the classification issues and video data segmentation. Learn, how to catch errors and how to rebuild the frame with existing files.

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