DeepMind is trying to combine deep learning and algorithms, creating the one algorithm to rule them all: a deep learning model that can learn how to emulate any algorithm, generating an algorithm ...

If successful, DeepMind's goal to bridge deep learning and classical computer science could revolutionize AI and software as we know them.

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential ...

Deep learning-based decoding algorithms have emerged as a focal point currently in contemporary research. Neural Offset Min-Sum Belief Propagation decoding algorithm is one of the traditional deep ...

Deep learning is one of the most popular domains in the artificial intelligence (AI) space, which allows you to develop multi-layered models of varying complexities. This book is designed to help you ...

Since deep-learning algorithms require a ton of data to learn from, this increase in data creation is one reason that deep learning capabilities have grown in recent years.

Evolutionary algorithm outperforms deep-learning machines at video games Neural networks have garnered all the headlines, but a much more powerful approach is waiting in the wings.

This repository contains PyTorch implementations of deep reinforcement learning algorithms and environments. (To help you remember things you learn about machine learning in general write them in ...

Researchers at Stanford used a deep-learning algorithm to detect more earthquakes in cities by filtering out the normal noise and vibrations of urban life.