"VV Square"building, Plot.No.TS 710/1b1 & 2B1, CMC Ward No 18, Moka road, Gandhinagar, Ballari-583 101. 583101 Bellari IN
Kendriya Vidyalaya Ballari
"VV Square"building, Plot.No.TS 710/1b1 & 2B1, CMC Ward No 18, Moka road, Gandhinagar, Ballari-583 101. Bellari, IN
+918050151380 https://www.trendypaper.com/s/5b1a00c581a9afd8ff765190/ms.settings/5256837ccc4abf1d39000001/5b928defbda50e15d4c76434-480x480.png" [email protected]
9789390684687- 63f9e1d6541afec07f4c87d8 Elements Of Deep Learning For Computer Vision https://www.trendypaper.com/s/5b1a00c581a9afd8ff765190/64e4fa13bd64ecd84ac3b2fd/elements-of-deep-learning-for-computer-vision-original-imag56gzxkujzrr6.jpg This book introduces you to Deep Learning and explains all the concepts required to understand the basic working, development, and tuning of a neural network using Pytorch. The book then addresses the field of computer vision using two libraries, including the Python wrapper/version of OpenCV and PIL. After establishing and understanding both the primary concepts, the book addresses them together by explaining Convolutional Neural Networks(CNNs). CNNs are further elaborated using top industry standards and research to explain how they provide complicated Object Detection in images and videos, while also explaining their evaluation. Towards the end, the book explains how to develop a fully functional object detection model, including its deployment over APIs. Relevant Links: Reputation Capital Books OnlineAws All In One Security Guide Books OnlineDiscovery Of Independent India Books OnlineIndian English A Bibliographical Guide To Resources Books OnlineThe Invisible Me Books OnlineEk Cup Coffee Books OnlineHandbook On Training And Development Books OnlinePiggy Money Bank Popular Books OnlineFisher Price 1 Products Online 9789390684687-
in stockINR 849
BPB Publications
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Elements Of Deep Learning For Computer Vision

Elements Of Deep Learning For Computer Vision

Author: Bharat Sikka

Brand: BPB Publications

₹849


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This book introduces you to Deep Learning and explains all the concepts required to understand the basic working, development, and tuning of a neural network using Pytorch. The book then addresses the field of computer vision using two libraries, including the Python wrapper/version of OpenCV and PIL. After establishing and understanding both the primary concepts, the book addresses them together by explaining Convolutional Neural Networks(CNNs). CNNs are further elaborated using top industry standards and research to explain how they provide complicated Object Detection in images and videos, while also explaining their evaluation. Towards the end, the book explains how to develop a fully functional object detection model, including its deployment over APIs. Relevant Links: Reputation Capital Books OnlineAws All In One Security Guide Books OnlineDiscovery Of Independent India Books OnlineIndian English A Bibliographical Guide To Resources Books OnlineThe Invisible Me Books OnlineEk Cup Coffee Books OnlineHandbook On Training And Development Books OnlinePiggy Money Bank Popular Books OnlineFisher Price 1 Products Online

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