Carnegie Mellon University Deep Learning
“Deep Learning” systems, typified by deep neural networks, are increasingly taking over all AI tasks, ranging from language understanding, and speech and image recognition, to machine translation, planning, and even game playing and autonomous driving. As a result, expertise in deep learning is fast changing from an esoteric desirable to a mandatory prerequisite in many advanced academic settings, and a large advantage in the industrial job market. In this course we will learn about the basics
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Carnegie Mellon University Deep Learning (@carnegiemellonuniversityde4339) is a data science YouTube channel with 28.3K subscribers. With 1053 videos and 1.9M total views, the channel averages 264 views per video. Carnegie Mellon University Deep Learning has an engagement rate of 3.79%, placing it in the top 21% of data science educators on the platform. The channel uploads on a weekly basis, making it a very active creator in the developer education space.