Dynamic Routing Between Capsules

arXiv:0706.3639v1 [cs.AI] 25 Jun 2007

arXiv:0706.3639v1 [cs.AI] 25 Jun 2007 Technical Report IDSIA-07-07 A Collection of Definitions of Intelligence Shane Legg IDSIA, Galleria …

  Intelligence, Collection

Deep Residual Learning for Image Recognition - …

Deep Residual Learning for Image Recognition Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun Microsoft Research fkahe, v-xiangz, v-shren, jiansung@microsoft.com

  Image, Learning, Residual, Recognition, Residual learning for image recognition

arXiv:1301.3781v3 [cs.CL] 7 Sep 2013

For all the following models, the training complexity is proportional to O = E T Q; (1) where E is number of the training epochs, T is the number of …

@google.com arXiv:1609.03499v2 [cs.SD] 19 Sep 2016

where 1 <x t <1 and = 255. This non-linear quantization produces a significantly better reconstruction than a simple linear quantization scheme. …

A Tutorial on UAVs for Wireless Networks: …

A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems Mohammad Mozaffari 1, ... to UAVs in wireless communications is the work in …

  Network, Communication, Wireless, Wireless communications, Wireless networks

Adversarial Generative Nets: Neural Network …

Adversarial Generative Nets: Neural Network Attacks on State-of-the-Art Face Recognition Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer Carnegie Mellon University

  Network, Attacks, Nets, Adversarial generative nets, Adversarial, Generative, Neural network, Neural, Neural network attacks

Massive Exploration of Neural Machine Translation ...

Massive Exploration of Neural Machine Translation Architectures Denny Britzy, Anna Goldie, Minh-Thang Luong, Quoc Le fdennybritz,agoldie,thangluong,qvlg@google.com Google Brain

  Architecture, Machine, Exploration, Translation, Neural, Exploration of neural machine translation, Exploration of neural machine translation architectures

Mastering Chess and Shogi by Self-Play with a …

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver, 1Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, 1Matthew Lai, Arthur Guez, Marc Lanctot,1

Going deeper with convolutions - arXiv

Going deeper with convolutions Christian Szegedy Google Inc. Wei Liu University of North Carolina, Chapel Hill Yangqing Jia Google Inc. Pierre Sermanet

  With, Going, Going deeper with convolutions, Deeper, Convolutions

Andrew G. Howard Menglong Zhu Bo Chen Dmitry ...

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam

  Applications

A Technical Review on Face Recognition based on BP Neural ...

Vinodpuri Rampuri Gosavi et al A Technical Review on Face Recognition based on BP Neural Network

  Neural

Artificial Intelligence Applications to Critical ...

Transportation Research Circular E-C168 Artificial Intelligence Applications to Critical Transportation Issues Artificial Intelligence and Advanced

  Critical, Applications, Intelligence, Transportation, Artificial, Artificial intelligence applications to critical, Artificial intelligence applications to critical transportation

AN EARLY WARNING SYSTEM FOR TURKEY: THE …

Asian Economic and Financial Review, 2014, 4(4):529-543 531 1990s (Fioramanti, 2008).1 Also, Swanson and White (1997) also concluded that artificial neural networks improve forecasts of macroeconomic variables. The objective of the present study is …

  Network, Artificial, Neural, Artificial neural networks

Cost Estimation for Large Scale Production of Sheet Metal ...

University of Erlangen-Nuremberg, Institute for Manufacturing Science ! ""#$ #% Fig. 1: Offer Price Range for six Sets of Progressive Dies

  Large, Scale, Cost, Estimation, Cost estimation for large scale

Artificial Intelligence and the Modern Productivity ...

Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics ∗ (This is a minor revision of NBER Working Paper No. 24001)

  Intelligence, Modern, Artificial, Productivity, Artificial intelligence and the modern productivity

Cash Forecasting: An Application of Artificial Neural ...

PremChand Kumar & Ekta Walia 62 a) Time-series Method b) Factor analysis Method c) Expert system approach 2.1 Time Series Method This method predicts future cash requirement based on the past values of variable and/or past errors.

  Artificial, Neural, Artificial neural

The Ethics of Artificial Intelligence - Nick Bostrom

1 THE ETHICS OF ARTIFICIAL INTELLIGENCE (2011) Nick Bostrom Eliezer Yudkowsky Draft for Cambridge Handbook of Artificial Intelligence, eds. William Ramsey and Keith Frankish (Cambridge University Press, 2011): forthcoming The possibility of creating …

  Intelligence, Ethics, Artificial, The ethics of artificial intelligence

BACCALAUREUS TECHNOLOGIAE: INFORMATION …

P 21 F I C Technology 2 CURRICULUM FIRST OR SECOND SEMESTER CODE SUBJECT CREDIT PREREQUISITE SUBJECT(S) ADA401T Advanced Communication Networks IV (0,100) Communication Networks IV

  Network