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GitHub / awslabs / dynamic-training-with-apache-mxnet-on-aws

Dynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. The system reduces training cost and time by dynamically updating the training cluster size during training, with minimal impact on model training accuracy.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/awslabs%2Fdynamic-training-with-apache-mxnet-on-aws
PURL: pkg:github/awslabs/dynamic-training-with-apache-mxnet-on-aws

Stars: 56
Forks: 17
Open issues: 1

License: apache-2.0
Language: Python
Size: 17.6 MB
Dependencies parsed at: Pending

Created at: over 6 years ago
Updated at: about 1 year ago
Pushed at: over 2 years ago
Last synced at: 2 months ago

Topics: aws, deep-learning, distributed-training, machine-learning, mxnet, neural-network

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