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Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP

Description: payment | shipping rates | returns Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition Product Category : Books ISBN : 9781838823412 Title : Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition EAN : 9781838823412 Authors : Pal, Sujit,Kapoor, Amita,Gulli, Antonio Binding : Paperback Publisher : Packt Publishing Publication Date : 2019-12-27 Pages : 646 Signed : False First Edition : False Dust Jacket : False List Price (MSRP) : 41.99 Height : 1.4961 inches Width : 7.4409 inches Length : 9.2520 inches Weight : 2.5463 pounds Condition : Good About hpb-red Selling quality books and media since 1972. Customer service is our top priority! Payment We accept several payment types. They are shown above. Shipping Please click the "Shipping and Payments" tab above for details. Returns Your satisfaction is very important to us. Please contact us via the methods available within eBay regarding any problems before leaving negative feedback. You have 60 days from purchase to request a refund. © 2024 hpb-red

Price: 38.7 USD

Location: Carrollton, Texas

End Time: 2024-11-02T20:57:59.000Z

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Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP

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Restocking Fee: No

Return shipping will be paid by: Buyer

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Refund will be given as: Money Back

Book Title: Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets,

Number of Pages: 646 Pages

Language: English

Publication Name: Deep Learning with TensorFlow 2 and Keras : Regression, ConvNets, GANs, RNNs, NLP, and More with TensorFlow 2 and the Keras API, 2nd Edition

Publisher: Packt Publishing, The Limited

Subject: Web / Web Services & APIs, Natural Language Processing, Neural Networks

Publication Year: 2019

Type: Textbook

Author: Amita Kapoor, Sujit Pal, Antonio Gulli

Item Length: 3.6 in

Subject Area: Computers

Item Width: 3 in

Format: Trade Paperback

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