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.

neural-network

View on GitHub

51 Stars

16 Forks

51 Watchers

Python Language

apache-2.0 License

Cost to Build

$1.22M

Market Value

$1.80M

How is this calculated?

Growth over time

4 data points · 2021-08-07 → 2022-06-04

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about dynamic-training-with-apache-mxnet-on-aws

Question copied to clipboard

What is the awslabs/dynamic-training-with-apache-mxnet-on-aws GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone dynamic-training-with-apache-mxnet-on-aws

Clone via HTTPS

git clone https://github.com/awslabs/dynamic-training-with-apache-mxnet-on-aws.git

Clone via SSH

[email protected]:awslabs/dynamic-training-with-apache-mxnet-on-aws.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the dynamic-training-with-apache-mxnet-on-aws issue tracker:

Open GitHub Issues

Similar to dynamic-training-with-apache-mxnet-on-aws

tensorflow pytorch CNTK brain.js machine-learning-curriculum spaCy awesome-deep-learning python-machine-learning-book handson-ml tfjs tflearn HanLP tfjs-core Machine-Learning-Tutorials EffectiveTensorflow gensim php-ml TensorFlow-Tutorials have-fun-with-machine-learning tiny-dnn neurojs TensorLayer Paddle-Lite chainer seq2seq awesome-artificial-intelligence onnx tutorials TensorFlow-World neon