aws / aws/amazon-sagemaker-examples

How to use external files on SageMaker estimator object to use a pre-trained model and aply transfer learning?

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Dominant language
Jupyter Notebook
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Description

For example, i want to use the yolov2 implementation from https://github.com/thtrieu/darkflow repository on sagemaker, but i dont know how pass the the weights files(or another file) to the job training

![image](https://user-images.githubusercontent.com/40581277/90833820-729a8d00-e30e-11ea-9aa1-9b7071b42c63.png)

Here, i want to pass the weights files to the job, but i do not see an option, i just pass the training dataset path

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Research direction

The issue names the SageMaker estimator and the linked YOLOv2 implementation in the darkflow repository, but it does not identify an example notebook or test file. Start by reviewing how the estimator supplies files to a training job and how darkflow loads weights; done would be a reproducible SageMaker example showing how pretrained weights reach the job.

Written by the indexing model from the issue text.

Assessment

Tech stack
aws, jupyter-notebook
Domain
cloud, machine-learning
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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