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PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models
book

PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models

by Pradeepta Mishra
December 2022
Intermediate to advanced content levelIntermediate to advanced
282 pages
5h 1m
English
Apress
Content preview from PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023
P. MishraPyTorch Recipeshttps://doi.org/10.1007/978-1-4842-8925-9_2

2. Probability Distributions Using PyTorch

Pradeepta Mishra1  
(1)
Bangalore, Karnataka, India
 

Probability and random variables are an integral part of computation in a graph-computing platform like PyTorch. You must have an understanding of probability and associated concepts. This chapter covers probability distributions and implementation using PyTorch and interpreting results from tests.

In probability and statistics, a random variable is also known as a stochastic variable, whose outcome is dependent on a purely stochastic phenomenon or random phenomenon . There are different types of ...

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