Order Total (1 Item Items):
Shipping Destination:
Deep Learning Algorithms Applications (186 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (186)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (161)
- As New, Fine or Near Fine (17)
- Very Good or Good (5)
- Fair or Poor (No further results match this refinement)
- As Described (3)
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (72)
- Not Print on Demand (139)
Language (2)
Free Shipping
Seller Location
Seller Rating
-
paperback. Condition: Very Good. Fast Shipping - Safe and Secure 7 days a week!
-
Soft cover. Condition: New. US SELLER SHIPS FROM USA.
-
Deep Learning: Algorithms and Applications.
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 5 out of 5 stars
XII, 360 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Computational Intelligence, 865. Sprache: Englisch.
-
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
-
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
-
-
Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
-
International EditionDEEP LEARNING: ALGORITHMS AND APPLICATIONS
ISBN 10: 9366606601 ISBN 13: 9789366606606
Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
-
-
PF. Condition: New.
-
Condition: New. 1st edition NO-PA16APR2015-KAP.
-
paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
-
Condition: New. 1st edition NO-PA16APR2015-KAP.
-
Hardcover. Condition: Very Good. VERY GOOD hardcover, no marks in text, very clean exterior, appears unread. Book.
-
-
-
Condition: As New. Unread book in perfect condition.
-
Paperback. Condition: Brand New. 122 pages. 9.25x7.51x0.26 inches. In Stock.
-
-
-
-
Computational Methods for Deep Learning - Theoretic, Practice and Applications : Theory, Algorithms, and Implementations
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
MACHINE AND DEEP LEARNING ALGORITHMS, APPLICATIONS CANCER DETECTION
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207487907 ISBN 13: 9786207487905
Condition: New.
-
Condition: As New. Unread book in perfect condition.
-
NOVEL DEEP LEARNING ALGORITHMS FOR ANALYSING OF CRYPTOCURRENCY | APPLICATIONS OF NOVEL DEEP LEARNING ALGORITHMS FOR ANALYSING OF CRYPTOCURRENCY
Language: English
Published by LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208452929 ISBN 13: 9786208452926
Taschenbuch. Condition: Neu. NOVEL DEEP LEARNING ALGORITHMS FOR ANALYSING OF CRYPTOCURRENCY | APPLICATIONS OF NOVEL DEEP LEARNING ALGORITHMS FOR ANALYSING OF CRYPTOCURRENCY | Ganesh Davanam (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208452926 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
-
Condition: As New. Unread book in perfect condition.
-
-
Machine and Deep Learning Algorithms and Applications
Language: English
Published by Springer International Publishing, 2021
ISBN 10: 3031037480 ISBN 13: 9783031037481
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners. We begin by describing how machine learning provides capabilities to computers and embedded systems to learn from data. A typical machine learning algorithm involves training, and generally the performance of a machine learning model improves with more training data. Deep learning is a sub-area of machine learning that involves extensive use of layers of artificial neural networks typically trained on massive amounts of data. Machine and deep learning methods are often used in contemporary data science tasks to address the growing data sets and detect, cluster, and classify data patterns. Although machine learning commercial interest has grown relatively recently, the roots of machine learning go back to decades ago. We note that nearly all organizations, including industry, government, defense, and health, are using machine learning toaddress a variety of needs and applications. The machine learning paradigms presented can be broadly divided into the following three categories: supervised learning, unsupervised learning, and semi-supervised learning. Supervised learning algorithms focus on learning a mapping function, and they are trained with supervision on labeled data. Supervised learning is further sub-divided into classification and regression algorithms. Unsupervised learning typically does not have access to ground truth, and often the goal is to learn or uncover the hidden pattern in the data. Through semi-supervised learning, one can effectively utilize a large volume of unlabeled data and a limited amount of labeled data to improve machine learning model performances. Deep learning and neural networks are also covered in this book. Deep neural networks have attracted a lot of interest during the last ten years due to the availability of graphics processing units (GPU) computational power, big data, and new software platforms. They have strong capabilities in terms of learning complex mapping functions for different types of data. We organize the book as follows. The book starts by introducing concepts in supervised, unsupervised, and semi-supervised learning. Several algorithms and their inner workings are presented within these three categories. We then continue with a brief introduction to artificial neural network algorithms and their properties. In addition, we cover an array of applications and provide extensive bibliography. The book ends with a summary of the key machine learning concepts.
-
Computational Methods for Deep Learning - Theoretic, Practice and Applications : Theory, Algorithms, and Implementations
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Deep Learning and Computer Vision: Core Algorithms and Applications(Chinese Edition)
Language: English
Published by Beijing Institute of Technology Press, 2023
ISBN 10: 7576323051 ISBN 13: 9787576323054
paperback. Condition: New. Language:Chinese.Paperback.Pub Date:2023-04 Pages:316 Publisher:Beijing Institute of Technology Press Deep Learning and Computer Vision: Core Algorithms and Applications combines theory with practice. and introduces in detail the commonly used algorithms and models of machine learning and deep learning and their typical applications in the field of computer vision. For beginners. this book systematically introduces the modeling process and methods from scratch. which can lead them to get star.
