PyTorch. An Introduction Guide to Pytorch Deep Learning for Beginners, 2019 Edition. by Smith Jim

Author:Smith, Jim [Smith, Jim]
Language: eng
Format: epub
Published: 2019-09-01T16:00:00+00:00

Gradient Descent Algorithms

The schematic representation of linear regression is mentioned below

Interpreting the result

Y=ax+bY=ax+b

The value of a is the slope.

The value of b is the y − intercept .

r is the correlation coefficient .

r 2 is the correlation coefficient .

The graphical view of the equation of linear regression is mentioned below −

Following steps are used for implementing linear regression using PyTorch −

Step 1

Import the necessary packages for creating a linear regression in PyTorch using the below code −

import numpy as np

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