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GTC ON-DEMAND

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Abstract:

In this lab, we will cover deep learning fundamentals and focus on the powerful and scalable Apache MXNet open source deep learning framework. At the end of this hands on lab, youll be able to train your own deep neural network and fine tune existing state of the art models for image and object recognition. Well also dive deep into setting up your deep learning infrastructure on AWS.

In this lab, we will cover deep learning fundamentals and focus on the powerful and scalable Apache MXNet open source deep learning framework. At the end of this hands on lab, youll be able to train your own deep neural network and fine tune existing state of the art models for image and object recognition. Well also dive deep into setting up your deep learning infrastructure on AWS.

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Topics:
Deep Learning & AI Frameworks
Type:
Instructor-Led Lab
Event:
GTC Europe
Year:
2017
Session ID:
53491
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Abstract:
Amazon Web Services offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address different use cases and needs. For developers looking to add managed AI services to their applications, AWS brings natural language understanding and automatic speech recognition with Amazon Lex, visual search and image recognition with Amazon Rekognition, text-to-speech with Amazon Polly, and developer-focused machine learning with Amazon Machine Learning. The AWS Deep Learning Amazon Machine Images provides a way for AI developers and researchers to quickly and easily begin using any of the major deep learning frameworks (Apache MXNet, TensorFlow, Caffe, and others) to train sophisticated, custom AI models; experiment with new algorithms; and learn new DL skills and techniques on AWS' massive GPU-accelerated compute infrastructure. We'll provide a meaningful overview of how to improve scale and efficiency of AI applications on the AWS Cloud.
Amazon Web Services offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address different use cases and needs. For developers looking to add managed AI services to their applications, AWS brings natural language understanding and automatic speech recognition with Amazon Lex, visual search and image recognition with Amazon Rekognition, text-to-speech with Amazon Polly, and developer-focused machine learning with Amazon Machine Learning. The AWS Deep Learning Amazon Machine Images provides a way for AI developers and researchers to quickly and easily begin using any of the major deep learning frameworks (Apache MXNet, TensorFlow, Caffe, and others) to train sophisticated, custom AI models; experiment with new algorithms; and learn new DL skills and techniques on AWS' massive GPU-accelerated compute infrastructure. We'll provide a meaningful overview of how to improve scale and efficiency of AI applications on the AWS Cloud.  Back
 
Topics:
Artificial Intelligence and Deep Learning
Type:
Talk
Event:
GTC Washington D.C.
Year:
2017
Session ID:
DC7227
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