[图书][B] Deep learning
JD Kelleher - 2019 - books.google.com
An accessible introduction to the artificial intelligence technology that enables computer
vision, speech recognition, machine translation, and driverless cars. Deep learning is an …
vision, speech recognition, machine translation, and driverless cars. Deep learning is an …
Applied machine learning at facebook: A datacenter infrastructure perspective
Machine learning sits at the core of many essential products and services at Facebook. This
paper describes the hardware and software infrastructure that supports machine learning at …
paper describes the hardware and software infrastructure that supports machine learning at …
Verifying properties of binarized deep neural networks
Understanding properties of deep neural networks is an important challenge in deep
learning. In this paper, we take a step in this direction by proposing a rigorous way of …
learning. In this paper, we take a step in this direction by proposing a rigorous way of …
Accelerating reduction and scan using tensor core units
Driven by deep learning, there has been a surge of specialized processors for matrix
multiplication, referred to as Tensor Core Units (TCUs). These TCUs are capable of …
multiplication, referred to as Tensor Core Units (TCUs). These TCUs are capable of …
Euphrates: Algorithm-soc co-design for low-power mobile continuous vision
Continuous computer vision (CV) tasks increasingly rely on convolutional neural networks
(CNN). However, CNNs have massive compute demands that far exceed the performance …
(CNN). However, CNNs have massive compute demands that far exceed the performance …
DNN engine: A 28-nm timing-error tolerant sparse deep neural network processor for IoT applications
This paper presents a 28-nm system-on-chip (SoC) for Internet of things (IoT) applications
with a programmable accelerator design that implements a powerful fully connected deep …
with a programmable accelerator design that implements a powerful fully connected deep …
Questionable answers in question answering research: Reproducibility and variability of published results
M Crane - Transactions of the Association for Computational …, 2018 - direct.mit.edu
Abstract “Based on theoretical reasoning it has been suggested that the reliability of findings
published in the scientific literature decreases with the popularity of a research field”(Pfeiffer …
published in the scientific literature decreases with the popularity of a research field”(Pfeiffer …
FixyNN: Efficient hardware for mobile computer vision via transfer learning
PN Whatmough, C Zhou, P Hansen… - arXiv preprint arXiv …, 2019 - arxiv.org
The computational demands of computer vision tasks based on state-of-the-art
Convolutional Neural Network (CNN) image classification far exceed the energy budgets of …
Convolutional Neural Network (CNN) image classification far exceed the energy budgets of …
Maxnvm: Maximizing dnn storage density and inference efficiency with sparse encoding and error mitigation
Deeply embedded applications require low-power, low-cost hardware that fits within
stringent area constraints. Deep learning has many potential uses in these domains, but …
stringent area constraints. Deep learning has many potential uses in these domains, but …
Can artificial intelligence achieve human-level performance? A pilot study of childhood sexual abuse detection in self-figure drawings
Childhood sexual abuse (CSA) is a worldwide phenomenon that has negative long-term
consequences for the victims and their families, and inflicts a considerable economic toll on …
consequences for the victims and their families, and inflicts a considerable economic toll on …