Sebastian Raschka
@sebastianraschka·88.6K subscribers·307 videos
Managing Sources of Randomness When Training Deep Neural Networks
Posted
April 16, 2024
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3,151
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April 16, 2024
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23:11Now PlayingSebastian's books
REFERENCES:
1. Link to the code on GitHub
2. Link to the book mentioned at the end of the video
DESCRIPTION:
In this video, we managing common sources of randomness when training deep neural networks. We cover sources of randomness, including model weight initialization, dataset sampling and shuffling, nondeterministic algorithms, runtime algorithm differences, hardware and driver variations, and generative AI sampling.
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