machine-learning-using-k8s
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aws-samples
Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS
This would be easier for some of the beginner users who may not use Tensorflow for computer vision or NLP.
Add training and inference using PyTorch and Keras // @gautamkmr
Show Fashion-MNIST training using TensorFlow on K8s and inference using Sagemaker.
Create a CDK stack with the following components: - GPU-powered EKS cluster - Install KubeFlow - Create MXNet construct - Create ML pipelines for training and prediction
Training Fashion-MNIST model using TensorFlow and Keras as explained at Running the training gives: ``` Test accuracy: 0.885599970818 Traceback (most recent call last): File "mnist.py", line 89, in main() File...
Add sample to show MXNet distributed training, possibly using https://github.com/kubeflow/mxnet-operator
Kubeflow community is growing fast. This repository covers basic tutorial for users. I think strategy for next step is to - bring different phases of machine learning into picture like...
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Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS