AI refers to any machine that is able to replicate human cognitive skills, such as problem solving. Over the second half of the 20th century, machine learning emerged as a powerful AI approach that ...

In this course, we’ll examine the history of neural networks and state-of-the-art approaches to deep learning. Students will learn to design neural network architectures and training procedures via ...

Cornell researchers are demonstrating how artificial intelligence—particularly deep learning and generative modeling—can ...

as well as how they inform the ways that neural networks learn from data, is crucial for improving the interpretability, efficiency, and generalizability of deep learning models. With that mind ...

Often, each node in a layer is connected to every node in the subsequent layer to send information forward in the network. “When you write code to build an artificial neural network ... gives rise to ...

This course is about deep learning, covering fundamental concepts of deep learning and neural networks, design of neural network architectures, optimisation methods for training neural networks, and ...

In a study published in Nature Communications, researchers at the University of Wisconsin–Madison introduced a deep learning ...