WORKER BALANCING IMPLEMENTATION ON DRAGON SCHEDULER FOR DISTRIBUTED DEEP LEARNING IN KUBERNETES
Deep learning is generally have much more computational process than conventional machine learning, so it requires a lot of time for the training process. Distributed deep learning is an alternative approach to reduce training time by distributing the computational load across multiple machines....
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/65753 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |