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Add https://youtu.be/GIrFEoR5PoU to docs (#16264)

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Muhammad Rizwan Munawar 2024-09-13 21:51:32 +05:00 • committed by GitHub
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docs/en/guides/model-training-tips.md
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@ -10,6 +10,17 @@ keywords: Model Training Machine Learning, AI Model Training, Number of Epochs,
One of the most important steps when working on a [computer vision project](./steps-of-a-cv-project.md) is model training. Before reaching this step, you need to [define your goals](./defining-project-goals.md) and [collect and annotate your data](./data-collection-and-annotation.md). After [preprocessing the data](./preprocessing_annotated_data.md) to make sure it is clean and consistent, you can move on to training your model.
<p align="center">
<br>
<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/GIrFEoR5PoU"
title="YouTube video player" frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
allowfullscreen>
</iframe>
<br>
<strong>Watch:</strong> Model Training Tips | How to Handle Large Datasets | Batch Size, GPU Utilization and Mixed Precision
</p>
So, what is [model training](../modes/train.md)? Model training is the process of teaching your model to recognize visual patterns and make predictions based on your data. It directly impacts the performance and accuracy of your application. In this guide, we'll cover best practices, optimization techniques, and troubleshooting tips to help you train your computer vision models effectively.
## How to Train a Machine Learning Model