ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...

Abstract: Deep neural networks often suffer from poor performance or even training failure due to the ill-conditioned problem, the vanishing/exploding gradient problem, and the saddle point problem.

Abstract: In this letter, we propose a bio-inspired derivative-free optimization algorithm capable of minimizing objective functions with vanishing or exploding gradients. The proposed method searches ...

GameSpot may get a commission from retail offers. A new Helldivers 2 patch has gone live, and amongst numerous tweaks, a fix to stop mechs from exploding is quite welcome. Mechs were only recently ...

Machine Learning Practical - Coursework 2 Report: Analysing problems with the VGG deep neural network architectures (with 8 and 38 hidden layers) on the CIFAR100 dataset by monitoring gradient flow ...

Last July, an electric transit bus in Connecticut burst into flames while parked at a depot. A month later, an electric scooter sparked a fire inside a New York City apartment that killed a 5-year-old ...

Researchers from MIT and Facebook AI have developed projUNN, an effective method for training deep networks using unitary matrices. The projUNN method includes two variants, projUNN-D and projUNN-T, ...

Government programs to blunt the economic impact of the coronavirus pandemic will make the federal budget deficit much wider in 2020 than at any point in the last 75 years. The nonpartisan ...

(Bloomberg Opinion) -- Government programs to blunt the economic impact of the coronavirus pandemic will make the federal budget deficit much wider in 2020 than at any point in the last 75 years. The ...