Amazon Web Services784 тыс
Опубликовано 5 июня 2019, 16:31
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Getting started with deep learning can feel really intimidating. In this session we'll dive right in to explaining the basic concepts of deep learning with barely any jargon and a small amount of arithmetic. We'll see 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 that we want the computer to recognize. We'll show 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'll finish up with a review of where to continue learning more.
Getting started with deep learning can feel really intimidating. In this session we'll dive right in to explaining the basic concepts of deep learning with barely any jargon and a small amount of arithmetic. We'll see 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 that we want the computer to recognize. We'll show 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'll finish up with a review of where to continue learning more.
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