Tag: Deep

January 30, 2024

Deep Learning for Healthcare Services (IoT and Big Data Analytics)

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Free Download Deep Learning for Healthcare Services (IoT and Big Data Analytics) by Parma Nand, Vishal Jain, Dac-Nhuong Le
English | July 7, 2023 | ISBN: 9815080245 | 127 pages | MOBI | 3.36 Mb
This book highlights the applications of deep learning algorithms in implementing big data and IoT enabled smart solutions to treat and care for terminally ill patients. It presents 5 concise chapters showing how these technologies can empower the conventional doctor patient relationship in a more dynamic, transparent, and personalized manner. The key topics covered in this book include:

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January 30, 2024

Deep Learning Methods for Automotive Radar Signal Processing

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Free Download Rodrigo Pérez González, "Deep Learning Methods for Automotive Radar Signal Processing"
English | 2021 | ISBN: 3736974620 | PDF | pages: 137 | 9.6 mb
For autonomous driving to become a reality, future sensor systems must be able to not only capture the vehicle’s environment, but also to provide semantic information. In this work, deep learning methods, meant to enhance-or even replace-the classical radar signal processing chain, are developed and evaluated in the context of automotive applications. For this purpose, state of the art computer vision approaches are adapted and applied to radar signals in order to detect and classify different road users.

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January 25, 2024

Designing Deep Learning Systems (MEAP V08)

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Free Download Designing Deep Learning Systems (MEAP V08) by
English | 2023 | ISBN: 9781633439863 | 475 pages | MOBI | 7.16 Mb
Deep learning systems are the components and infrastructure essential to supporting a deep learning model in a production environment. Written especially for software engineers with minimal knowledge of deep learning’s design requirements, Designing Deep Learning Systems is full of hands-on examples that will help you transfer your software development skills to creating these deep learning platforms. You’ll learn how to build automated and scalable services for core tasks like dataset management, model training/serving, and hyperparameter tuning. This book is the perfect way to step into an exciting-and lucrative-career as a deep learning engineer.

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