|Listed in category:
Have one to sell?

Santanu Pattanayak Pro Deep Learning with TensorFlow 2.0 (Paperback)

Another great item from Rarewaves USA | Free delivery!
Condition:
Brand New
More than 10 available
Breathe easy. Returns accepted.
Shipping:
Does not ship to United States. See detailsfor shipping
Located in: 60502, United States
Delivery:
Varies
Returns:
30 days return. Buyer pays for return shipping. See details- for more information about returns
Payments:
     

Shop with confidence

eBay Money Back Guarantee
Get the item you ordered or your money back. 

Seller information

Registered as a Business Seller
Seller assumes all responsibility for this listing.
eBay item number:315079243228
Last updated on Jun 05, 2024 12:03:37 EDTView all revisionsView all revisions

Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Pro Deep Learning with TensorFlow 2.0
Publication Name
Pro Deep Learning with TensorFlow 2. 0 : A Mathematical Approach to Advanced Artificial Intelligence in Python
Title
Pro Deep Learning with TensorFlow 2.0
Subtitle
A Mathematical Approach to Advanced Artificial Intelligence in Py
Author
Santanu Pattanayak
Format
Trade Paperback
EAN
9781484289303
ISBN
9781484289303
Edition
2nd ed.
Publisher
Apress L. P.
Genre
Computing & Internet
Release Year
2023
Release Date
01/01/2023
Language
English
Country/Region of Manufacture
US
Item Height
254mm
Item Length
10 in
Subject Area
Computers, Science, Mathematics
Subject
Probability & Statistics / General, Intelligence (Ai) & Semantics, General, Programming Languages / Python
Publication Year
2023
Type
Textbook
Item Width
7 in
Item Weight
44.4 Oz
Number of Pages
Xx, 652 Pages

About this product

Product Information

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 Learn Understand full-stack deep learning using TensorFlow 2.0 Gain an understanding of the mathematical foundations of deep learning Deploy complex deep learning solutions in production using TensorFlow 2.0 Understand generative adversarial networks, graph attention networks, and GraphSAGE Who This Book Is For: Data scientists and machine learning professionals, software developers, graduate students, and open source enthusiasts.

Product Identifiers

Publisher
Apress L. P.
ISBN-10
1484289307
ISBN-13
9781484289303
eBay Product ID (ePID)
10057264003

Product Key Features

Author
Santanu Pattanayak
Publication Name
Pro Deep Learning with TensorFlow 2. 0 : A Mathematical Approach to Advanced Artificial Intelligence in Python
Format
Trade Paperback
Language
English
Subject
Probability & Statistics / General, Intelligence (Ai) & Semantics, General, Programming Languages / Python
Publication Year
2023
Type
Textbook
Subject Area
Computers, Science, Mathematics
Number of Pages
Xx, 652 Pages

Dimensions

Item Length
10 in
Item Width
7 in
Item Weight
44.4 Oz

Additional Product Features

Edition Number
2
Number of Volumes
1 Vol.
Lc Classification Number
Q334-342
Table of Content
Chapter 1: Mathematical Foundations.- Chapter 2: Introduction to Deep learning Concepts and Tensorflow 2.0.- Chapter 3: Convolutional Neural networks.- Chapter 4: Natural Language Processing.- Chapter 5: Unsupervised Learning with Restricted Boltzmann Machines and Auto-encoders.- Chapter 6: Advanced Neural Networks.
Copyright Date
2023
Dewey Decimal
006.3
Dewey Edition
23
Illustrated
Yes

Item description from the seller

Rarewaves USA CA

Rarewaves USA CA

97.6% positive feedback
175K items sold

Detailed seller ratings

Average for the last 12 months

Accurate description
4.9
Reasonable shipping cost
5.0
Shipping speed
4.9
Communication
4.9

Seller feedback (63,179)

e***i (879)- Feedback left by buyer.
Past month
Verified purchase
Awesome seller, ships fast and packaging is great. My DVD movie " OUTBOARD " came exactly as described still sealed and in brand new condition. Seller is great at communication . I would definitely buy from them again. Highly recommend them and give them an A+. Thanks so much .
p***4 (5)- Feedback left by buyer.
Past month
Verified purchase
Awesome seller with reasonable prices! My item was well packaged and arrived fairly quickly, in great condition, just as described! Recommended, would definitely shop here again! :)
c***i (266)- Feedback left by buyer.
Past 6 months
Verified purchase
Fantastic seller! Great communication, fast delivery, secure packaging, item as described. Highly recommend!

Product ratings and reviews

No ratings or reviews yet
Be the first to write the review.