THE EFFECT OF PERFORMANCE METRICS MODIFICATION ON HYBRID RESOURCE SCHEDULER FOR DISTRIBUTED DEEP LEARNING TRAINING
Distributed deep learning is a method in machine learning that is used for complex and time-consuming feature extraction. One of the frameworks that is used to perform distributed machine learning is AdaptDL. AdaptDL runs machine learning processes on top of a Kubernetes cluster using the Poll...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/55924 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |