Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs

Author:   Sunila Gollapudi
Publisher:   APress
Edition:   1st ed.
ISBN:  

9781484242605


Pages:   151
Publication Date:   27 April 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs


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Author:   Sunila Gollapudi
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.454kg
ISBN:  

9781484242605


ISBN 10:   1484242602
Pages:   151
Publication Date:   27 April 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1:   Artificial Intelligence and Computer Vision.- Chapter 2:  OpenCV with Python.- Chapter 3: Deep learning for Computer Vision.- Chapter 4: Image Manipulation and Segmentation.- Chapter 5 : Object Detection and Recognition.- Chapter 6: Motion Analysis and Tracking. 

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Author Information

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.

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