Description: About this Item The item is a book Paperback The Author Name is Ivan Gridin The Title is Automated Deep Learning Using Neural Network Intelligence : Develop and Design PyTorch and TensorFlow Models Using Python Condition New Other Comments Pages Count - 404. Binding type - Perfect. Content Language - English Category - COMPUTERS / Artificial Intelligence / General COMPUTERS / Languages / Python Product Description - Optimize, develop, and design PyTorch and TensorFlow models for a specific problem using the Microsoft Neural Network Intelligence NNI toolkit. This book includes practical examples illustrating automated deep learning approaches and provides techniques to facilitate your deep learning model development. The first chapters of this book cover the basics of NNI toolkit usage and methods for solving hyper-parameter optimization tasks. You will understand the black-box function maximization problem using NNI, and know how to prepare a TensorFlow or PyTorch model for hyper-parameter tuning, launch an experiment, and interpret the results. The book dives into optimization tuners and the search algorithms they are based on: Evolution search, Annealing search, and the Bayesian Optimization approach. The Neural Architecture Search is covered and you will learn how to develop deep learning models from scratch. Multi-trial and one-shot searching approaches of automatic neural network design are presented. The book teaches you how to construct a search space and launch an architecture search using the latest state-of-the-art exploration strategies: Efficient Neural Architecture Search ENAS and Differential Architectural Search DARTS. You will learn how to automate the construction of a neural network architecture for a particular problem and dataset. The book focuses on model compression and feature engineering methods that are essential in automated deep learning. It also includes performance techniques that allow the creation of large-scale distributive training platforms using NNI. After reading this book, you will know how to use the full toolkit of automated deep learning methods. The techniques and practical examples presented in this book will allow you to bring your neural network routines to a higher level. What You Will LearnKnow the basic concepts of optimization tuners, search space, and trialsApply different hyper-parameter optimization algorithms to develop effective neural networksConstruct new deep learning models from scratchExecute the automated Neural Architecture Search to create state-of-the-art deep learning modelsCompress the model to eliminate unnecessary deep learning layersWho This Book Is For Intermediate to advanced data scientists and machine learning engineers involved in deep learning and practical neural network development 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 165952427
Price: 95.83 USD
Location: US
End Time: 2024-11-10T17:46:35.000Z
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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: 0.7
Style: NA
Title: Automated Deep Learning Using Neural Network Intelligence Devel
Release Title: Automated Deep Learning Using Neural Network Intelligence Devel
Record Grading: New
Sleeve Grading: New
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Film/TV Title: Automated Deep Learning Using Neural Network Intelligence Deve
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Movie/TV Title: Automated Deep Learning Using Neural Network Intelligence Deve
UPC: 9781484281482
EAN: 9781484281482
ISBN: 9781484281482
Binding Type: Perfect
Item Height: 21.08
Main Stone: NA
Metal Purity: NA
Metal: NA
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Model: NA
Number of Pages: Xvii, 384 Pages
Language: English
Publication Name: Automated Deep Learning Using Neural Network Intelligence : Develop and Design Pytorch and TensorFlow Models Using Python
Publisher: Apress L. P.
Subject: Probability & Statistics / General, Intelligence (Ai) & Semantics, Programming Languages / Python
Publication Year: 2022
Item Weight: 27 Oz
Type: Textbook
Item Length: 10 in
Subject Area: Mathematics, Computers
Author: Ivan Gridin
Item Width: 7 in
Format: Trade Paperback
