Learn Computer Vision Using OpenCV

With Deep Learning CNNs and RNNs

Éditeur :

Apress

Paru le : 2019-04-26

Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer vision such as image and object detection, tracking and motion analysis and their applications with examples. The author starts with an introduction to computer...
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Éditeur

Collection
n.c

Parution
2019-04-26

Pages
151 pages

EAN papier
9781484242605

Auteur(s) du livre


Sunila Gollapudi has over 17 years of experience in developing, designing and architecting data-driven solutions with a focus on the banking and financial services sector. She is currently working at  Broadridge, India as vice president. She's played various roles as chief architect, big data and AI evangelist, and mentor.She has been a speaker at various conferences and meetups on Java and big data technologies. Her current big data and data science expertise includes Hadoop, Greenplum, MarkLogic, GemFire, ElasticSearch, Apache Spark, Splunk, R, Julia, Python (scikit-learn), Weka, MADlib, Apache Mahout, and advanced analytics techniques such as deep learning, computer vision, reinforcement, and ensemble learning.

Caractéristiques détaillées - droits

EAN PDF
9781484242612
Prix
56,19 €
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
6420 Ko
EAN EPUB
9781484242612
Prix
56,19 €
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
6308 Ko

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