Deep learning finally allows machines to tackle problems of similar complexity to those humans can solve, and has been responsible for impressive AI achievements in recent years.

Deep learning's availability of large data and compute power makes it far better than any of the classical machine learning algorithms.

Key Characteristics of Deep Learning: Multiple Layers (Deep Networks): Deep learning models consist of multiple layers of neurons, where each layer extracts different features from the input data ...

“Geometric deep learning is likely going to be part of the standard AI-powered engineering process in five years for most companies,” says Altair’s VP of engineering data science Earlier ...

Microsoft shipped ML.NET 3.0, enhancing deep learning and data processing scenarios in the company's machine language framework that lets devs create AI-infused apps completely within the .NET ...

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

The second goal is to train the participants in state-of-the-art Deep Learning and Data Science methodologies and technologies, which are designed to increase the ability of the Army's analytical ...