IEEE

On the Convergence of Decentralized Stochastic Gradient Descent With Biased Gradients

Abstract: Stochastic optimization algorithms are widely used to solve large-scale machine learning problems. However, their theoretical analysis necessitates access to unbiased estimates of the true ...
Scientific Research Publishing

Ruder, S. (2016) An Overview of Gradient Descent Optimization Algorithms. arXiv Preprint.

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 ...
Scientific Research Publishing

Pennington, J., Schoenholz, S.S. and Ganguli, S. (2017) Resurrecting the Sigmoid in Deep Learning Through Dynamical Isometry: Theory and Practice. Advances in Neural ...

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 ...
GitHub

iteration-value

Genetic Algorithm, Curve Fitting, Reinforcement Learning, Iteration Value, Iteration Policy, FrozenLake-v1 Environment, Q-Learning, Hidden Markov Models, ML, Linear ...
The Brooklyn Paper

K Slope Market soft launches at former Steve’s 9th Street Supermarket location

The grocery store formerly known as Steve’s 9th Street Supermarket in Park Slope has a new occupant. K Slope Market, a full-service supermarket and member of the Key Food Cooperative, opened its doors ...