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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Computer Vision & Pattern Recognition | Expert Systems |
Intelligence & Semantics | Machine Theory |
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