The idea is to allow any company to deploy a deep-learning model without the need for specialized hardware. It would not only lower the costs of deep learning but also make AI more widely accessible.

Parting thoughts Deep learning is an exciting and fast-changing field with new methods emerging regularly. It might seem like a daunting task for social scientists to adopt these new tools. However, ...

Deep learning pioneers Deep Yoshua Bengio, Geoffrey Hinton, and Yann LeCun outlines future directions for research in ACM paper.

Deep learning has also benefited from the company’s method of splitting computing tasks among many machines so they can be done much more quickly. That’s a technology Dean helped develop ...

Artificial intelligence, machine learning and deep learning are some of the biggest buzzwords around today. This guide provides a simple definition for deep learning that helps differentiate it ...

The authors have been engaged in research focused on students' depth of learning as well as teachers' efforts to foster deep learning. Findings from a study examining the teaching practices and ...

Become a Member The center’s faculty seeks active engagement toward building a robust, comprehensive, and scalable solution for an end-to-end deep learning training and model-serving architecture.

If I had to learn deep learning with Python all over again, I would start with Grokking Deep Learning, written by Andrew Trask.

Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically ...