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Transformers for Machine Learning: A Deep Dive (Chapman & Hall/CRC Machine
US $115.00
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Brand New
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Item specifics
- Condition
- EAN
- 9780367771652
- UPC
- 9780367771652
- ISBN
- 9780367771652
- MPN
- N/A
- Book Title
- Transformers for Machine Learning: A Deep Dive (Ch
- Item Height
- 1.8 cm
- Item Length
- 23.4 cm
- Item Weight
- 0.5 kg
- Item Width
- 15.6 cm
- Publication Year
- 2022
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Subject Area
- Mathematics
- Publication Name
- Transformers for Machine Learning
- Publisher
- CRC Press LLC
- Subject
- General
- Number of Pages
- 248 Pages
About this product
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
0367771659
ISBN-13
9780367771652
eBay Product ID (ePID)
28057253506
Product Key Features
Subject
General
Publication Year
2022
Number of Pages
248 Pages
Publication Name
Transformers for Machine Learning
Language
English
Type
Textbook
Subject Area
Mathematics
Format
Hardcover
Additional Product Features
LCCN
2021-059529
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.32
Synopsis
Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations, resulting in newer techniques and methods. Transformers for Machine Learning: A Deep Dive is the first comprehensive book on transformers. Key Features: A comprehensive reference book for detailed explanations for every algorithm and techniques related to the transformers. 60+ transformer architectures covered in a comprehensive manner. A book for understanding how to apply the transformer techniques in speech, text, time series, and computer vision. Practical tips and tricks for each architecture and how to use it in the real world. Hands-on case studies and code snippets for theory and practical real-world analysis using the tools and libraries, all ready to run in Google Colab. The theoretical explanations of the state-of-the-art transformer architectures will appeal to postgraduate students and researchers (academic and industry) as it will provide a single entry point with deep discussions of a quickly moving field. The practical hands-on case studies and code will appeal to undergraduate students, practitioners, and professionals as it allows for quick experimentation and lowers the barrier to entry into the field.
LC Classification Number
QA76.87.K354 2022
Item description from the seller
Business seller information
Value Added Tax Number:
- GB 118119922
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- a***r (366)- Feedback left by buyer.Past monthVerified purchaseGood customer service provided: seller quickly responded to my enquiry. Goods exactly as described on screen. Dispatched in secure packaging and arrived within a day or two. Very pleased with seller and my purchase.
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- 0***l (457)- Feedback left by buyer.Past 6 monthsVerified purchaseunread rating N/A new sealed set, as described. dispatch took a minute with no communication from seller as to what was happening. once in the hands of amazon though everything was nice and quick. Wasn't in no rush anyhow. very well packed in a box with plenty of paper for shocks. very happy indeed. thanks a bunch.
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