Deep Learning For Engineers(1st Edition)
Authors:
Tariq M. Arif ,Md Adilur Rahim
In Stock: 2 Left
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Solution Manual Includes
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Book details
ISBN: 1032515813, 978-1032515816
Book publisher: Chapman and Hall/CRC
Book Price $0 : Deep Learning For Engineers Introduces Fundamental Principles Of Deep Learning Along With The Explanation Of Basic Elements Required For Understanding And Applying Deep Learning Models.As A Comprehensive Guideline For Applying Deep Learning Models In Practical Settings, This Book Features An Easy-to-understand Coding Structure Using Python And PyTorch With An In-depth Explanation Of Four Typical Deep Learning Case Studies On Image Classification, Object Detection, Semantic Segmentation, And Image Captioning. The Fundamentals Of Convolutional Neural Network (CNN) And Recurrent Neural Network (RNN) Architectures And Their Practical Implementations In Science And Engineering Are Also Discussed.This Book Includes Exercise Problems For All Case Studies Focusing On Various Fine-tuning Approaches In Deep Learning. Science And Engineering Students At Both Undergraduate And Graduate Levels, Academic Researchers, And Industry Professionals Will Find The Contents Useful.
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