You will also review deep learning methods and apply them to some of the same problems. Finally, you will analyze your results and discuss advantages and drawbacks of both types of methods. By ...

and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. 5 courses in: Neural Networks and Deep Learning, Improving Deep Neural Networks: ...

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 ...

As the financial industry becomes increasingly data-driven, the integration of DL technologies will be essential to navigate ...

The process of updating deep learning/AI models when they face new tasks or must accommodate changes in data can have significant costs in terms of computational resources and energy consumption.

Deep-Learning Discrete Calculus (DLDC) is an emerging field that integrates calculus, numerical methods, machine and deep learning algorithms to identify, model, and solve mathematical science systems ...

EPFL scientists have used deep learning to design new proteins that bind to complexes involving other small molecules like ...

Online education is now ubiquitous and in recent years has fundamentally changed the way many people learn. Various platforms ...

Researchers have developed a transfer learning-enhanced physics-informed neural network (TLE-PINN) for predicting melt pool ...