Description: About this Item The item is a book Paperback The Author Name is Santanu Pattanayak The Title is Pro Deep Learning with TensorFlow 2.0 : A Mathematical Approach to Advanced Artificial Intelligence in Python Condition New Other Comments Pages Count - 674. Binding type - Perfect. Content Language - English Category - COMPUTERS / Artificial Intelligence / General COMPUTERS / Languages / Python Product Description - This book builds upon the foundations established in its first edition, with updated chapters and the latest code implementations to bring it up to date with Tensorflow 2.0. Pro Deep Learning with TensorFlow 2.0 begins with the mathematical and core technical foundations of deep learning. Next, you will learn about convolutional neural networks, including new convolutional methods such as dilated convolution, depth-wise separable convolution, and their implementation. You'll then gain an understanding of natural language processing in advanced network architectures such as transformers and various attention mechanisms relevant to natural language processing and neural networks in general. As you progress through the book, you'll explore unsupervised learning frameworks that reflect the current state of deep learning methods, such as autoencoders and variational autoencoders. The final chapter covers the advanced topic of generative adversarial networks and their variants, such as cycle consistency GANs and graph neural network techniques such as graph attention networks and GraphSAGE. Upon completing this book, you will understand the mathematical foundations and concepts of deep learning, and be able to use the prototypes demonstrated to build new deep learning applications. What You Will LearnUnderstand full-stack deep learning using TensorFlow 2.0Gain an understanding of the mathematical foundations of deep learning Deploy complex deep learning solutions in production using TensorFlow 2.0Understand generative adversarial networks, graph attention networks, and GraphSAGEWho This Book Is For: Data scientists and machine learning professionals, software developers, graduate students, and open source enthusiasts. We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling. Gift IdeasThis is a great Christmas gift idea. Hours of ServiceWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 166629408
Price: 90.17 USD
Location: US
End Time: 2024-11-10T19:17:38.000Z
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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
Fiction/Non-Fiction: Non-Fiction
Genre/Subject: COMPUTERS / Artificial Intelligence / General
Brand: APress
Weight: 1.15
Style: NA
Title: Pro Deep Learning with TensorFlow 2.0 A Mathematical Approach t
Release Title: Pro Deep Learning with TensorFlow 2.0 A Mathematical Approach t
Record Grading: New
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Film/TV Title: Pro Deep Learning with TensorFlow 2.0 A Mathematical Approach
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Movie/TV Title: Pro Deep Learning with TensorFlow 2.0 A Mathematical Approach
UPC: 9781484289303
EAN: 9781484289303
ISBN: 9781484289303
Binding Type: Perfect
Item Height: 34.29
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Metal Purity: NA
Metal: NA
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Number of Pages: Xx, 652 Pages
Language: English
Publication Name: Pro Deep Learning with TensorFlow 2. 0 : A Mathematical Approach to Advanced Artificial Intelligence in Python
Publisher: Apress L. P.
Publication Year: 2023
Subject: Intelligence (Ai) & Semantics, Probability & Statistics / General, General, Programming Languages / Python
Item Weight: 44.4 Oz
Type: Textbook
Item Length: 10 in
Author: Santanu Pattanayak
Subject Area: Mathematics, Computers, Science
Item Width: 7 in
Format: Trade Paperback
