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Binary Neural Networks : Algorithms, Architectures, and Applications

By: (Author) Baochang Zhang , (Author) David Doermann , (Author) Mingbao Lin , (Author) Sheng Xu , (Author) Tiancheng Wang

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Ksh 21,600.00

Format: Hardback or Cased Book

ISBN-10: 103245248X

ISBN-13: 9781032452487

Series: Multimedia Computing, Communication and Intelligence

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Dec 13th, 2023

Print length: 203 Pages

Weight: 580 grams

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Our book will also introduce NAS due to its superiority and state-of-the-art performance in various applications, such as image classification and object detection.

Deep learning has achieved impressive results in image classification, computer vision, and natural language processing. To achieve better performance, deeper and wider networks have been designed, which increase the demand for computational resources. The number of floatingpoint operations (FLOPs) has increased dramatically with larger networks, and this has become an obstacle for convolutional neural networks (CNNs) being developed for mobile and embedded devices. In this context, Binary Neural Networks: Algorithms, Architectures, and Applications will focus on CNN compression and acceleration, which are important for the research community. We will describe numerous methods, including parameter quantization, network pruning, low-rank decomposition, and knowledge distillation. More recently, to reduce the burden of handcrafted architecture design, neural architecture search (NAS) has been used to automatically build neural networks by searching over a vast architecture space. Our book will also introduce NAS and binary NAS and its superiority and state-of-the-art performance in various applications, such as image classification and object detection. We also describe extensive applications of compressed deep models on image classification, speech recognition, object detection, and tracking. These topics can help researchers better understand the usefulness and the potential of network compression on practical applications. Moreover, interested readers should have basic knowledge of machine learning and deep learning to better understand the methods described in this book.

Key Features

  • Reviews recent advances in CNN compression and acceleration
  • Elaborates recent advances on binary neural network (BNN) technologies
  • Introduces applications of BNN in image classification, speech recognition, object detection, and more

Get Binary Neural Networks by at the best price and quality guranteed only at Werezi Africa largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has pages. Enjoy Shopping Best Offers & Deals on books Online from Werezi - Receive at your doorstep - Fast Delivery - Secure mode of Payment

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