Maurizio Taiuti

Learning Deep Learning by Ekman NEW Paperback

Description: PAPERBACK EDITIONNEW PAPERBACK EDITION $$$~~SAVE MONEY~~$$$DESCRIPTION? We sell only Brand New books.? The Book is printed in English.? CD or Access code is not available unless stated for book.? Actual cover image is shown above.SHIPPING? Telephone number must be provided for Smooth and faster delivery. ? Tracking number will be uploaded to your eBay account. RETURNS? A Full refund for returns due to delivery of wrong edition or defective/damaged book within 30 days. Return shipping label is provided? The refund shall be initiated only once the book has been received by us. Please intimate us a return tracking number for faster refunds. FEEDBACKIn case of any concerns or issues, please do not hesitate to contact/Write to us. We will resolve your every problem to your satisfaction.Please do leave us a feedback as every positive feedback goes a long way to help us serve you better. CONTACT USCustomer satisfaction is our top priority. Please let us know if you have any question. We would be glad to answer any of your queries.

Price: 32.08 USD

Location: Wayne, NJ

End Time: 2024-10-13T08:00:52.000Z

Shipping Cost: 0 USD

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Learning Deep Learning by Ekman NEW Paperback

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money back or replacement (buyer's choice)

Book Title: Learning Deep Learning

Genre: Books

Original Language: English

Intended Audience: Young Adults

Number of Pages: 752 Pages

Publication Name: Learning Deep Learning : Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow

Language: English

Publisher: Addison Wesley Professional

Subject: Natural Language Processing, General, Databases / Data Mining, Programming Languages / Python

Item Height: 1.1 in

Publication Year: 2021

Item Weight: 34.4 Oz

Type: Textbook

Subject Area: Computers, Science

Author: Magnus Ekman

Item Length: 9 in

Item Width: 7.3 in

Format: Trade Paperback

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