Now’s the time to do deep learning in the cloud

The AWS Re:invent conference is coming up, and predictions are starting to fly around what Amazon Web Services will announce there. A sure bet is that it will announce some sort of deep learning cloud service. Of course, Google, Microsoft, and IBM won’t be far behind; indeed, both IBM and Microsoft have their own special deep learning projects in the works, called Brainwave and Distributed Deep Learning, respectively.

So, what’s the difference between machine learning and deep learning? Simply put, machine learning typically deals with tactical applications of AI, such as making instant predictions. Deep learning provides a foundation for the understanding of massive amounts of patterns or data.

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The AWS Re:invent conference is coming up, and predictions are starting to fly around what Amazon Web Services will announce there. A sure bet is that it will announce some sort of deep learning cloud service. Of course, Google, Microsoft, and IBM won’t be far behind; indeed, both IBM and Microsoft have their own special deep learning projects in the works, called Brainwave and Distributed Deep Learning, respectively.

So, what’s the difference between machine learning and deep learning? Simply put, machine learning typically deals with tactical applications of AI, such as making instant predictions. Deep learning provides a foundation for the understanding of massive amounts of patterns or data.

To read this article in full or to leave a comment, please click here