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R deep learning solutions

Author: PKS Prakash; Achyutuni Sri Krishna Rao
Publisher: [Place of publication not identified] : Packt, [2018]
Edition/Format:   eVideo : Clipart/images/graphics : English
Summary:
"Deep learning is the next big thing. It’s a part of machine learning. Its favorable results in applications with huge and complex data is remarkable. R programming language is very popular among data miners and statisticians. This course will help you resolve problems during the execution of different tasks in deep learning, neural networks, and advanced machine learning techniques. We start with different packages  Read more...
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Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: PKS Prakash; Achyutuni Sri Krishna Rao
OCLC Number: 1028995401
Notes: Title from title screen (viewed March 16, 2018).
Date of publication from resource description page.
Description: 1 online resource (1 streaming video file (2 hr., 15 min., 56 sec.)) : digital, sound, color
Responsibility: Dr. PKS Prakash, Achyutuni Sri Krishna Rao.

Abstract:

"Deep learning is the next big thing. It’s a part of machine learning. Its favorable results in applications with huge and complex data is remarkable. R programming language is very popular among data miners and statisticians. This course will help you resolve problems during the execution of different tasks in deep learning, neural networks, and advanced machine learning techniques. We start with different packages in deep learning, neural networks, and structures. We’ll also encounter the applications in text mining and processing along with a comparison between CPU and GPU performance. It will also take you through complex deep learning algorithms and various deep learning packages and libraries in R. By the end of the course, you’ll have an understanding of deep learning and different deep learning packages so you have the most appropriate solutions for your problems."--Resource description page.

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