Image Recognition Deep Learning by Yan San (3 results)

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  • Language: English

    Published by Tsinghua University Press, 2023

    7302635277 / 9787302635277

    • Softcover

    Seller: liu xing, Nanjing, JS, Chinaliu xing

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    Condition: New

    £ 144.65

    £ 13.46 shipping 
    Ships from China to U.S.A.

    Quantity: 1 available

    paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2023-07 Pages: 396 Publisher: Tsinghua University Press Deep Learning for Image Recognition: Core Algorithms and Practical Examples (Full Color Edition) comprehensively introduces the core algorithms and applications of deep learning in the field of image recognition. The book not only emphasizes the explanation of basic theories. but also provides 1 to 3 cases of different difficulty for readers to practice starting from Chapter 4. Readers can improve on.

  • Language: Chinese

    Published by Mechanical Industry Press, 2019

    7111624726 / 9787111624721

    • Softcover

    Seller: Robinson Street Books, IOBA, Binghamton, NY, U.S.A.Robinson Street Books, IOBA

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    Association member: IOBA

    Condition: Used - Very good

    £ 49.31

    £ 7.11 shipping 
    Ships within U.S.A.

    Quantity: 1 available

    Trade Paperbac. Condition: Very Good. Prompt Shipment, shipped in Boxes, Tracking PROVIDED: Very Good trade paperback, written in Chinese, Small 4to, minor creases, tips bumped, clean pages, prompt shipping with tracking.

  • 7111624726 / 9787111624721

    • Softcover

    Seller: liu xing, Nanjing, JS, Chinaliu xing

    5-star seller
    Contact seller

    Condition: New

    £ 88.16

    £ 13.46 shipping 
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    Quantity: 3 available

    paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2019-04-01 Pages: 280 Publisher: Mechanical Industry Press This book provides a comprehensive introduction to the core technologies and applications of deep learning in the field of image processing. The book not only pays attention to the explanation of the basic theory. but also provides one or two cases of different difficulty for each reader from the beginning of Chapter 4. The reader can modify it based on the existing code.