Digital assistants, like Siri, Cortana, and Alexa, are some of the most common examples of deep learning. They use NLP to respond to questions and adapt to user habits.

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 essentially an autonomous, self-teaching system in which you use existing data to train algorithms to find patterns and then use that to make predictions about new data.

In supervised learning, the most prevalent, the data is labeled to tell the machine exactly what patterns it should look for. Think of it as something like a sniffer dog that will hunt down ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

But with AlphaGo Zero, instead of having an algorithm look at lots of data from other players, Google taught the system the rules of the game and let the algorithm learn how to improve on its own ...

Next, let’s imagine that we want to teach a computer what a cat looks like using deep learning. First, we’d take a neural network and program different layers to identify different elements of ...

Deep learning made the headlines when the UK’s AlphaGo team beat Lee Sedol, holder of 18 international titles, in the Go board game. Go is more complex than other games, such as Chess, where machines ...

The book and materials look like a solid introduction to learning about the ideas behind these deep learning algorithms for anyone even mildly curious about the topic, and you can’t complain ...

Deep learning itself isn’t that new, and researchers have been working on algorithms for many years, refining the approach and developing new algorithms. What has stimulated it recently is the ...