IBM's AI Fundamentals program is available on its SkillsBuild learning portal. The credential takes about 10 hours to ...

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: ...

University of Tokyo researchers introduce ADOPT, a groundbreaking optimizer that stabilizes deep learning training across diverse applications without compromising speed. Study: ADOPT: Modified ...

Modern artificial intelligence systems rely on deep neural networks (DNNs) that demand immense computational resources.

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 ...

The Santa Clara, Calif.-based company announced the launch of the Nervana NNP-T1000 and NNP-I1000 chips for deep learning training and inference as well as the 2020 release window for its next ...

MSc Data Science students will be given priority for enrollment in this course. This course is about deep learning, covering fundamental concepts of deep learning and neural networks, design of neural ...