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Unlock the TensorFlow design secrets and techniques behind profitable deep studying purposes! Deep studying StackOverflow contributor Thushan Ganegedara teaches you the brand new options of TensorFlow 2 on this hands-on information.
In TensorFlow in Motion you’ll study:
Fundamentals of TensorFlow
Implementing deep studying networks
Selecting a high-level Keras API for mannequin constructing with confidence
Writing complete end-to-end knowledge pipelines
Constructing fashions for pc imaginative and prescient and pure language processing
Using pretrained NLP fashions
Latest algorithms together with transformers, consideration fashions, and ElMo
In TensorFlow in Motion, you will dig into the most recent model of Google’s superb TensorFlow framework as you study to create unimaginable deep studying purposes. Creator Thushan Ganegedara makes use of quirky tales, sensible examples, and behind-the-scenes explanations to demystify ideas in any other case trapped in dense educational papers. As you dive into fashionable deep studying strategies like transformer and a spotlight fashions, you’ll profit from the distinctive insights of a prime StackOverflow contributor for deep studying and NLP.
Buy of the print ebook features a free eBook in PDF, Kindle, and ePub codecs from Manning Publications.
In regards to the know-how
Google’s TensorFlow framework sits on the coronary heart of recent deep studying. Boasting sensible options like multi-GPU help, community knowledge visualization, and simple manufacturing pipelines utilizing TensorFlow Prolonged (TFX), TensorFlow offers probably the most environment friendly path to skilled AI purposes. And the Keras library, absolutely built-in into TensorFlow 2, makes it a snap to construct and prepare even advanced fashions for imaginative and prescient, language, and extra.
In regards to the ebook
TensorFlow in Motion teaches you to assemble, prepare, and deploy deep studying fashions utilizing TensorFlow 2. On this sensible tutorial, you’ll construct reusable talent hands-on as you create production-ready purposes similar to a French-to-English translator and a neural community that may write fiction. You’ll respect the in-depth explanations that go from DL fundamentals to superior purposes in NLP, picture processing, and MLOps, full with essential particulars that you simply’ll return to reference again and again.
What’s inside
Covers TensorFlow 2.9
Latest algorithms together with transformers, consideration fashions, and ElMo
Construct on pretrained fashions
Writing end-to-end knowledge pipelines with TFX
In regards to the reader
For Python programmers with primary deep studying expertise.
In regards to the creator
Thushan Ganegedara is a senior ML engineer at Canva and TensorFlow skilled. He holds a PhD in machine studying from the College of Sydney.
Desk of Contents
PART 1 FOUNDATIONS OF TENSORFLOW 2 AND DEEP LEARNING
1 The superb world of TensorFlow
2 TensorFlow 2
3 Keras and knowledge retrieval in TensorFlow 2
4 Dipping toes in deep studying
5 State-of-the-art in deep studying: Transformers
PART 2 LOOK MA, NO HANDS! DEEP NETWORKS IN THE REAL WORLD
6 Instructing machines to see: Picture classification with CNNs
7 Instructing machines to see higher: Bettering CNNs and making them confess
8 Telling issues aside: Picture segmentation
9 Pure language processing with TensorFlow: Sentiment evaluation
10 Pure language processing with TensorFlow: Language modeling
PART 3 ADVANCED DEEP NETWORKS FOR COMPLEX PROBLEMS
11 Sequence-to-sequence studying: Half 1
12 Sequence-to-sequence studying: Half 2
13 Transformers
14 TensorBoard: Massive brother of TensorFlow
15 TFX: MLOps and deploying fashions with TensorFlow
Writer : Manning
Publication date : Oct. 18 2022
Language : English
Print size : 680 pages
ISBN-10 : 1617298344
ISBN-13 : 978-1617298349
Merchandise weight : 998 g
Dimensions : 18.73 x 4.06 x 23.5 cm
Greatest Sellers Rank: #819,281 in Books (See Prime 100 in Books) #276 in A.I. Neural Networks #644 in Python (Books) #1,056 in AI Machine Studying
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