Deep learning defined. 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 ...

Deep learning enables rapid detection of stroke-causing blockages. Assistance from the deep-learning algorithm improved the radiologists’ performance in detecting the cerebral aneurysms, increasing ...

Deep learning is good at finding patterns in reams of data, but can't explain how they're connected. Turing Award winner Yoshua Bengio wants to change that.

Algorithmia today is adding 15 deep-learning algorithms to its marketplace of roughly 2,000 callable APIs of all kinds, said Diego Oppenheimer, Algorithmia’s founder and CEO.

8 practical examples of deep learning. Now that we’re in a time when machines can learn to solve complex problems without human intervention, what exactly are the problems they are tackling?

Deep learning is a topic that is making big waves at the moment. It is basically a branch of machine learning (another hot topic) that uses algorithms to e.g. recognize objects and understand ...

Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification ...

Algorithms and deep learning: the best of both worlds. Veličković was in many ways the person who kickstarted the algorithmic reasoning direction in DeepMind.

Generative models – Using deep learning algorithms and pre-existing data, generic models produce new content. These technologies are used in applications like text, video, and image production.