Simple PyTorch Linear Regression Example

This script demonstrates a basic linear regression using PyTorch to learn the relationship between temperature in Celsius and Fahrenheit.

• Defines a single data point: 37.78°C = 100°F
• Trains a simple linear model y = wx + b using gradient descent
• Prints the learned parameters (weight and bias) every 100 iterations
• Uses the trained model to predict the Fahrenheit equivalent of 37.78°C

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Requirements

Only minimal dependencies are needed:

• Python 3.12+
• PyTorch

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How to setup Conda environment

conda env create celsius-farenheit-pytorch -f environment.yml