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

Curious about deep learning AI? Here’s your guide on deep learning, how it works and how it is deeply associated with the artificial intelligence world.

Deep-learning algorithms solve the same problem using deep neural networks, a type of software architecture inspired by the human brain (though neural networks are different from biological neurons).

Discover the role of optimizers in deep learning! Learn how algorithms like SGD, Adam, and RMSprop help neural networks train ...

The algorithms that are currently fueling the deep learning revolution Deep learning is the new exciting wave of machine learning. It teaches computers to understand photos, videos and speech.

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“Gradient descent algorithms are primary tools for training deep learning models,” Pin-Yu Chen, chief scientist at IBM Research and co-author of the BAR paper, told TechTalks.

What other ML areas can replace deep learning in the future? This question was originally answered on Quora by Ian Goodfellow.

Deep learning algorithms have the potential to support numerous applications that drive innovation across federal IT.