Hardware and software optimizations for accelerating deep neural networks: Survey of current trends, challenges, and the road ahead
Currently, Machine Learning (ML) is becoming ubiquitous in everyday life. Deep Learning
(DL) is already present in many applications ranging from computer vision for medicine to …
(DL) is already present in many applications ranging from computer vision for medicine to …
To spike or not to spike: A digital hardware perspective on deep learning acceleration
As deep learning models scale, they become increasingly competitive from domains
spanning from computer vision to natural language processing; however, this happens at …
spanning from computer vision to natural language processing; however, this happens at …
An updated survey of efficient hardware architectures for accelerating deep convolutional neural networks
Deep Neural Networks (DNNs) are nowadays a common practice in most of the Artificial
Intelligence (AI) applications. Their ability to go beyond human precision has made these …
Intelligence (AI) applications. Their ability to go beyond human precision has made these …
Efficient hardware architectures for accelerating deep neural networks: Survey
In the modern-day era of technology, a paradigm shift has been witnessed in the areas
involving applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep …
involving applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep …
[图书][B] Efficient processing of deep neural networks
This book provides a structured treatment of the key principles and techniques for enabling
efficient processing of deep neural networks (DNNs). DNNs are currently widely used for …
efficient processing of deep neural networks (DNNs). DNNs are currently widely used for …
Efficient methods and hardware for deep learning
S Han - 2017 - search.proquest.com
The future will be populated with intelligent devices that require inexpensive, low-power
hardware platforms. Deep neural networks have evolved to be the state-of-the-art technique …
hardware platforms. Deep neural networks have evolved to be the state-of-the-art technique …
Efficient processing of deep neural networks: A tutorial and survey
Deep neural networks (DNNs) are currently widely used for many artificial intelligence (AI)
applications including computer vision, speech recognition, and robotics. While DNNs …
applications including computer vision, speech recognition, and robotics. While DNNs …
[PDF][PDF] Understanding the limitations of existing energy-efficient design approaches for deep neural networks
Deep neural networks (DNNs) are currently widely used for many artificial intelligence (AI)
applications including computer vision, speech recognition, and robotics. While DNNs …
applications including computer vision, speech recognition, and robotics. While DNNs …
How to evaluate deep neural network processors: Tops/w (alone) considered harmful
A significant amount of specialized hardware has been developed for processing deep
neural networks (DNNs) in both academia and industry. This article aims to highlight the key …
neural networks (DNNs) in both academia and industry. This article aims to highlight the key …
Minerva: Enabling low-power, highly-accurate deep neural network accelerators
The continued success of Deep Neural Networks (DNNs) in classification tasks has sparked
a trend of accelerating their execution with specialized hardware. While published designs …
a trend of accelerating their execution with specialized hardware. While published designs …