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Methods & Techniques in Deep Learning

Name: Methods & Techniques in Deep Learning
Brand: John Wiley and Sons Ltd
SKU: 9781119910657
Price: 139.9 EUR
Availability: InStock

Advancements in mmWave Radar Solutions

Автор: Souvik Hazra, Lorenzo Servadei

Език:

Корици: С твърди корици

Издател: John Wiley and Sons Ltd

Наличност: Външен склад

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139.90 € 273.62 лв

Introduces multiple state-of-the-art deep learning architectures for mmwave radar in a variety of ad...

Информация за книгата

Автор

Souvik Hazra, Lorenzo Servadei

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2023

страници

338

EAN

9781119910657

ISBN

111991065X

Enbook ID

39493900

Издател

John Wiley and Sons Ltd

Теглоt

666

Размери

152 x 229 x 19

Пълно описание

Introduces multiple state-of-the-art deep learning architectures for mmwave radar in a variety of advanced applicationsMethods and Techniques in Deep Learning: Advancements in mmWave Radar Solutions provides a timely and authoritative overview of the use of artificial intelligence (AI)-based processing for various mmwave radar applications. Focusing on practical deep learning techniques, this comprehensive volume explains the fundamentals of deep learning, reviews cutting-edge deep metric learning techniques, describes different typologies of reinforcement learning (RL) algorithms, highlights how domain adaptation (DA) can be used for improving the performance of machine learning (ML) algorithms, and more. Throughout the book, readers are exposed to product-ready deep learning solutions while learning skills that are relevant for building any industrial-grade, sensor-based deep learning solution.A team of authors with more than 70 filed patents and 100 published papers on AI and sensor processing illustrate how deep learning is enabling a range of advanced industrial, consumer, and automotive applications of mmwave radars. In-depth chapters cover topics including multi-modal deep learning approaches, the elemental blocks required to formulate Bayesian deep learning, how domain adaptation (DA) can be used for improving the performance of machine learning algorithms, and geometric deep learning are used for processing point clouds. In addition, the book:* Discusses various advanced applications and how their respective challenges have been addressed using different deep learning architectures and algorithms* Describes deep learning in the context of computer vision, natural language processing, sensor processing, and mmwave radar sensors* Demonstrates how deep parametric learning reduces the number of trainable parameters and improves the data flow* Presents several human-machine interface (HMI) applications such as gesture recognition, human activity classification, human localization and tracking in-cabin automotive occupancy sensingMethods and Techniques in Deep Learning: Advancements in mmWave Radar Solutions is an invaluable resource for industry professionals, researchers, and graduate students working in systems engineering, signal processing, sensors, data science and AI.

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Methods & Techniques in Deep Learning

Advancements in mmWave Radar Solutions

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