Building Deep Learning Applications

Intriguing piece I am reviewing, showing the continued complexity of the field, from a practice perspective.

Nuts and Bolts of Building Deep Learning Applications: Ng @ NIPS2016 via DSC   This article was written by Tomasz Malisiewicz.

You might go to a cutting-edge machine learning research conference like NIPS hoping to find some mathematical insight that will help you take your deep learning system's performance to the next level. Unfortunately, as Andrew Ng reiterated to a live crowd of 1,000+ attendees this past Monday, there is no secret AI equation that will let you escape your machine learning woes. All you need is some rigor, and much of what Ng covered is his remarkable NIPS 2016 presentation titled "The Nuts and Bolts of Building Applications using Deep Learning" is not rocket science. Today we'll dissect the lecture and Ng's key takeaways. Let's begin.  ....  "

Why Andrew Ng Teaches AI

Why AI Visionary Andrew Ng Teaches Humans to Teach Computers 
Associated Press  by Ryan Nakashima

Stanford University professor Andrew Ng's current area of concentration is teaching next-generation artificial intelligence (AI) specialists to train computers. As a pioneer in such AI-training courses, Ng says he envisions AI as a tool to "free humanity from repetitive mental drudgery." He expects AI to have a transformative effect on virtually every industry, and eventually enable any job that takes less than a second of thought to become automated. Ng is an advocate of machine-learning neural networks, and his breakthrough in the field of AI was discovering a new way to give neural networks a significant performance boost by using chips typically found in video-game machines. Neural networks function much better if they can run thousands of calculations concurrently, an operation well suited to graphics-processing units. Ng and his Stanford team's research in this field was able to accelerate machine learning by as much as 70 times in 2008.  ... " 

Coursera on Deep Learning with Andrew Ng

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Take our new Deep Learning  courses, now open on Coursera  

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By Andrew Ng

More on the courses.

Deep Learning's Next Frontier

An insightful Webinar recording:

Deep Learning's Next Frontier  By Andrew Ng

HBR’s editor in chief, Adi Ignatius, and Andrew Ng, former chief scientist at Baidu and a cofounder of Coursera, discuss artificial intelligence and machine learning. They demystify AI and talk about its real-world impact today—and about the most pressing challenges and opportunities it presents for businesses in the future.  .... "