Deep learning is an interdisciplinary field that has revolutionised the manner in which computers interpret and process complex data. Rooted in models inspired by the structure of the human brain, ...

If you walk down the street shouting out the names of every object you see — garbage truck! bicyclist! sycamore tree! — most people would not conclude you are smart. But if you go through an obstacle ...

Deep learning is a branch of machine learning based on algorithms that try to model high-level abstract representations of data by using multiple processing layers with complex structures. Some ...

In this course, you’ll learn theoretical foundations of optimization methods used for training deep machine learning models. Why does gradient descent work? Specifically, what can we guarantee about ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

We are starting off the course with a busy week. This week's module has two parts. In the first part, after a quick introduction to Deep Learning's exciting applications in self-driving cars, medical ...

One of the godfathers of deep learning pulls together old ideas to sketch out a fresh path for AI, but raises as many questions as he answers. Around a year and a half ago, Yann LeCun realized he had ...

Deep learning isn’t living up to the hype, but still shows promise Your email has been sent A few years back I jumped on the “machine learning will eliminate the need for radiologists” bandwagon. It ...