<--- Back to Details
First PageDocument Content
Artificial neural networks / Mathematics / Computational neuroscience / Applied mathematics / Mathematical analysis / Lipschitz continuity / operator / Continuous function / Gradient descent / Convolutional neural network / Rectifier / Deep learning
Date: 2018-05-14 04:41:41
Artificial neural networks
Mathematics
Computational neuroscience
Applied mathematics
Mathematical analysis
Lipschitz continuity
operator
Continuous function
Gradient descent
Convolutional neural network
Rectifier
Deep learning

Reachability Analysis of Deep Neural Networks with Provable Guarantees Wenjie Ruan1 , Xiaowei Huang2 , Marta Kwiatkowska1 Department of Computer Science, University of Oxford, UK 2 Department of Computer Science, Univers

Add to Reading List

Source URL: qav.comlab.ox.ac.uk

Download Document from Source Website

File Size: 1,23 MB

Share Document on Facebook

Similar Documents

SCAN 2018 Post-conference Proceedings Special Issue of Journal of Computational and Applied Mathematics Call for Papers Special Issue on the 18th International Symposium on Scientific Computing, Computer Arithmetic,

SCAN 2018 Post-conference Proceedings Special Issue of Journal of Computational and Applied Mathematics Call for Papers Special Issue on the 18th International Symposium on Scientific Computing, Computer Arithmetic,

DocID: 1xVSx - View Document

Performance Evaluation and Optimization Models for Processing Networks with Queue-Dependent Production Quantities by John S. Hollywood S.B. Applied Mathematics

Performance Evaluation and Optimization Models for Processing Networks with Queue-Dependent Production Quantities by John S. Hollywood S.B. Applied Mathematics

DocID: 1xVdz - View Document

Mixture Density Networks Christopher M. Bishop Neural Computing Research Group Dept. of Computer Science and Applied Mathematics Aston University

Mixture Density Networks Christopher M. Bishop Neural Computing Research Group Dept. of Computer Science and Applied Mathematics Aston University

DocID: 1xUJf - View Document

Mathematics_BS_Applied.pdf

Mathematics_BS_Applied.pdf

DocID: 1xTYO - View Document

A BOOTSTRAP INTERVAL ESTIMATOR FOR BAYES’ CLASSIFICATION ERROR Chad M. Hawes and Carey E. Priebe Johns Hopkins University Department of Applied Mathematics and Statistics Baltimore, MDABSTRACT

A BOOTSTRAP INTERVAL ESTIMATOR FOR BAYES’ CLASSIFICATION ERROR Chad M. Hawes and Carey E. Priebe Johns Hopkins University Department of Applied Mathematics and Statistics Baltimore, MDABSTRACT

DocID: 1vrMQ - View Document