The first six steps for enterprise-ready Deep Learning
Deep Learning

The first six steps for enterprise-ready Deep Learning

When most companies say they’re using “Artificial Intelligence”, what they usually mean is “Machine Learning”. And while it’s very clever, Machine Learning is pretty basic in the grand scheme of AI. What you really want is Deep Learning: advanced algorithms that learn in ways closer to the way our own brains work. For example, Machine Learning is good for spotting patterns, Deep Learning is how systems learn to recognise whether food is hotdogs.  

Speaking at last year’s Re:Work Deep Learning Summit in London, Arjun Bansal, Co-founder and VP of Algorithms at Nervana Systems (acquired by Intel in August 2016), outlined how businesses can approach their first foray into the world of Deep Learning.

 

Step 1: The framework

“You don’t need to reinvent the wheel,” said Bansal, whose company provides cloud-based AI platforms (and was recently acquired by Intel). “You can use an existing model.

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Dan Swinhoe

Dan is Senior Staff Writer at IDG Connect. Writes about all manner of tech from driverless cars, AI, and Green IT to Cloudy stuff, security, and IoT. Dislikes autoplay ads/videos and garbage written about 'milliennials'.  

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