Abstract
Probability and random variables are an integral part of computation in a graph-computing platform like PyTorch. Understanding probability and associated concepts are essential. This chapter covers probability distributions and implementation using PyTorch, and interpreting the results from tests.
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© 2019 Pradeepta Mishra
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Mishra, P. (2019). Probability Distributions Using PyTorch. In: PyTorch Recipes. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4258-2_2
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DOI: https://doi.org/10.1007/978-1-4842-4258-2_2
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-4257-5
Online ISBN: 978-1-4842-4258-2
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