Practical Deep Learning for Scientists and Engineers
It’s no secret that deep learning has taken the industry by storm. With the ability to solve complex problems across wide project domains, this machine learning technique is here to stay. Whether attempting to produce a human-like translation of text or trying to solve a 50-year-old protein-folding problem, one approach has been at the forefront of AI advancements and serves as the foundation of all deep learning: the neural network. See upcoming open Practical Deep Learning for Scientists and Engineers classes.