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[R] Combining Distributed Computing with Deep Learing

Are there any open source projects (or free products) that I can use to combine Deep Learning with Distributed Computing? Because I recently discovered what serverless computing is and I realized that I needed a cloud provider, so the first thing that I thought of was Apache’s products, like MXNet, Hadoop and Spark but I don’t know if they’re as useful as serverless computing, given that serverless uses a more dynamic approach.

P.S I’m aiming to built one for an Image Recognition algorithm

submitted by /u/selrok
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.