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 ...

In this course students will study deep learning architectures such as autoencoders, , convolutional deep neural networks, and recurrent neural networks ... REFERENCE TEXTBOOKS: The Deep Learning Book ...

AI models like artificial neural networks and language models help scientists solve a variety of problems ... With the 2018 release of AlphaFold, an AI deep learning model, scientists were finally ...

FOOD ENGINEERING discusses machine learning, neural networks, Industry 4.0, data governance and other AI concepts in food ...