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.

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

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

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.

Deep learning algorithms have no notion of moral, commonsense and the discrimination that the human mind has. They only reflect the hidden biases and tendencies of the data they train on.

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.

Deep reinforcement learning has helped solve very complicated challenges and will continue to be an important interest for the AI community.

When an algorithm is completely open source, Algorithmia charges only for the computing power used. What’s new are the deep learning algorithms.