But Seattle-based startup Algorithmia is aiming to make deep-learning algorithms from the foremost researchers accessible to anyone wanting to harness the technology. Algorithmia CEO Diego ...

In most discussions, deep learning means using deep neural networks. There are, however, a few algorithms that implement deep learning using other kinds of hidden layers besides neural networks.

Using algorithms partially modeled on the human ... To create the program, the MIT team relied on a scientific technique called deep learning that's become central to modern artificial ...

“It’s just stuck in academic papers.” What’s new are the deep learning algorithms. Today, Algorithmia offers just over 2,500 algorithms, sixteen of which are deep learning models added by ...

By looking through purchase data, engagement metrics and so on, a deep learning algorithm can pinpoint the characteristics or affinities that make someone more likely to engage with a brand.

Pensieve is also a first effort; as deep-learning algorithms progress, improvements will only increase over time. MIT’s algorithm is a game changer, but they’re not alone in the battle against ...

It means, deep learning algorithms are at work. Right now, it may leave you a little perplexed, but here’s a simple guide on deep learning, how it works and how it is deeply associated with the ...

Hinton points out that ANNs can be trained using reinforcement learning ... FF algorithm can be much more memory efficient than the classical backprop, with up to 45% memory savings for deep ...

Deep learning algorithms are modeled after the structure and function of the human brain, making use of multiple layers of artificial neurons (hence "deep" learning). These layers allow the system ...