Linear Regression With PyTorch in Python

Author(s): Amit Chauhan

Originally published on Towards AI.

Deep Learning framework for Machine Learning applications

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In this article, we will create a linear regression model with the help of the PyTorch deep learning library. This project is to find the yields of apples and oranges crops with the help of input features.

First, we need to create the data and convert them to tensors for the PyTorch library.

import numpy as npimport torch

Now, we will generate the inputs and targets for our model.

inputs = np.array([[20, 31, 48], [74, 82, 11], [56, 73, 36], [94, 75, 29], [63, 88, 17]], dtype =… Read the full blog for free on Medium.

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Published via Towards AI