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. .... "
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