What other ML areas can replace deep learning in the future? originally appeared on Quora - the place to gain and share knowledge, empowering people to learn from others and better understand the ...

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 is a type of machine learning that learns by looking at lots of examples. In a way, deep learning is how we ...

Learn more Will deep learning really live up to its promise? We don’t actually know. But if it’s going to, it will have to assimilate how classical computer science algorithms work.

Unlike standard machine learning algorithms that break problems down into parts and solves them individually, deep learning solves the problem from end to end. Better yet, the more data and time ...

In hopes of creating better access to medical care, researchers have trained an algorithm to diagnose skin cancer. It's scary enough making a doctor's appointment to see if a strange mole could be ...

“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 ...

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 ...

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 ...

Data scalability: Deep learning models are also known to perform increasingly well as the volume of data grows. This is in stark contrast to traditional machine learning algorithms, which can ...