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: ...

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 ...

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 ...

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 ...

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

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.