Free Artificial Intelligence And Deep Learning Crash Course - KDnuggets

For better or worse, it seems as though the term "artificial intelligence" (AI) is becoming synonymous with modern machine learning. Whereas AI used to encompass many types of computational techniques used in the simulation of intelligence in machines, it almost exclusively refers to the state of the art (SOTA) advances in one branch of modern machine learning in particular: deep learning. Deep neural networks had already been around for some time when Krizhevsky, Sutskever and Hinton's ImageNet victory in October 2012 kicked off the modern deep learning revolution. Since then, deep learning has gone on to conquer SOTA results in almost every AI subfield and domain it has been put up against: computer vision; natural language processing; speech recognition; medical image analysis; image reconstruction; text generation; and much more. Simply put, if you want to be involved in modern AI development, you need to understand deep learning.