AWS Summit Tel Aviv 2017: Deep Dive into Deep Learning with Apache MXNet on AWS – #AWS

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Deep learning continues to push the state of the art in domains such as computer vision, natural language understanding, and recommendation engines. One of the key reasons for this progress is the availability of highly flexible, and developer friendly deep learning frameworks. Apache MXNet is a fully-featured, flexible, and massively scalable open source deep learning framework that supports innovative deep models, including convolutional neural networks (CNNs) and long short-term memory networks (LSTMs). This session will show you how to use the AWS Deep Learning AMI and Cloud Formation template to deploy and train your own deep neural network, using MNIST, to recognize handwritten digits and test it for accuracy as a practical introduction to Apache MXNet.

via Amazon Web Services

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- Launched in 2006, Amazon Web Services offers a robust, fully featured technology infrastructure platform in the cloud comprised of a broad set of compute, storage, database, analytics, application, and deployment services from data center locations in the U.S., Australia, Brazil, China, Germany, Ireland, Japan, and Singapore. More than a million customers, including fast-growing startups, large enterprises, and government agencies across 190 countries, rely on AWS services to innovate quickly, lower IT costs and scale applications globally. To learn more about AWS, visit http://aws.amazon.com.

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