Binary Neural Networks
eBook - ePub

Binary Neural Networks

Algorithms, Architectures, and Applications

  1. 203 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Binary Neural Networks

Algorithms, Architectures, and Applications

About this book

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

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Yes, you can access Binary Neural Networks by Baochang Zhang,Sheng Xu,Mingbao Lin,Tiancheng Wang,David Doermann in PDF and/or ePUB format, as well as other popular books in Ciencia de la computación & Redes de computadoras. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication Page
  7. Contents
  8. About the Authors
  9. 1 Introduction
  10. 2 Quantization of Neural Networks
  11. 3 Algorithms for Binary Neural Networks
  12. 4 Binary Neural Architecture Search
  13. 5 Applications in Natural Language Processing
  14. 6 Applications in Computer Vision
  15. Bibliography
  16. Index