AWS Developer Workshop: Deep learning Demystified, a (Mostly) Effortless Introduction
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15.11.18 – 8244:18Популярные
47 дней – 4660:24Опубликовано 15 ноября 2018, 1:09
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Getting started with deep learning can feel really intimidating. In this session we dove right in to explaining the basic concepts of deep learning with barely any jargon and only a bit of high-school math. We saw how easy it is to take an existing pre-trained general-purpose image classification model from the cloud and re-train it to identify objects from a specific business domain. We showed you how to do all of this with python, using a Jupyter notebook hosted from Amazon Sagemaker (a service from AWS that makes it easy to develop, train, and deploy deep-learning models in the cloud). Finally, we finished up with a review of where to continue learning more.
Miss a broadcast? Watch past live streams:
aws.amazon.com/developer/commu...
Getting started with deep learning can feel really intimidating. In this session we dove right in to explaining the basic concepts of deep learning with barely any jargon and only a bit of high-school math. We saw how easy it is to take an existing pre-trained general-purpose image classification model from the cloud and re-train it to identify objects from a specific business domain. We showed you how to do all of this with python, using a Jupyter notebook hosted from Amazon Sagemaker (a service from AWS that makes it easy to develop, train, and deploy deep-learning models in the cloud). Finally, we finished up with a review of where to continue learning more.
Miss a broadcast? Watch past live streams:
aws.amazon.com/developer/commu...
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