The basics of Deep Learning and Bayesian Networks in under five minutes

Still confused about deep learning, how it works, what is its shortcomings, and what is its origins? Watch this 4.5 minute keynote snippet by Zoubin Ghahramani, Chief Scientist at Uber, at O'Reilly's Artificial Intelligence Conference going on in NYC this week. He nails it.

Paraphrasing Zoubin: Deep learning is neural networks rebranded. Compute power enables us to run many layers of weighted computational neurons, hence the phrase "deep". They are data hungry, computationally intensive, uninterpretable black boxes that can be easily fooled.

But ...

They can do amazing things and using them is becoming easier. See the video snippet of the keunote below and watch other highlights from the conference.

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About Isaac Sacolick

Isaac Sacolick is President of StarCIO, a technology leadership company that guides organizations on building digital transformation core competencies. He is the author of Digital Trailblazer and the Amazon bestseller Driving Digital and speaks about agile planning, devops, data science, product management, and other digital transformation best practices. Sacolick is a recognized top social CIO, a digital transformation influencer, and has over 900 articles published at InfoWorld,, his blog Social, Agile, and Transformation, and other sites. You can find him sharing new insights @NYIke on Twitter, his Driving Digital Standup YouTube channel, or during the Coffee with Digital Trailblazers.