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A friendly introduction to distributed training (ML Tech Talks)
24:19
YouTubeTensorFlow
A friendly introduction to distributed training (ML Tech Talks)
Google Cloud Developer Advocate Nikita Namjoshi introduces how distributed training models can dramatically reduce machine learning training times, explains how to make use of multiple GPUs with Data Parallelism vs Model Parallelism, and explores Synchronous vs Asynchronous Data Parallelism. Mesh TensorFlow → https://goo.gle/3sFPrHw ...
49.8K viewsDec 30, 2021
Shorts
Distributed Training On NVIDIA DGX Station A100 | Deep Learning Tutorial 43 (Tensorflow & Python)
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What are the benefits of working and studying on an EY Apprenticeship?  You’ll get hands-on training and the chance to put your skills into practice  You’ll contribute to real client projects and learn from fellow apprentices  You'll receive dedicated support from your buddy and apprenticeship coach  You'll earn while you learn Register your interest at ey.com/uk/apprentices #YoursToBuild | EY Careers | Facebook
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What are the benefits of working and studying on an EY Apprenticeship?  You’ll get hands-on training and the chance to put your skills into practice  You’ll contribute to real client projects and learn from fellow apprentices  You'll receive dedicated support from your buddy and apprenticeship coach  You'll earn while you learn Register your interest at ey.com/uk/apprentices #YoursToBuild | EY Careers | Facebook
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