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content/learning-paths/embedded-and-microcontrollers/training-inference-pytorch/env-setup-1.md

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@@ -15,7 +15,7 @@ You will train a lightweight CNN to classify images of the letters R, P, and S a
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### What is a Convolutional Neural Network (CNN)?
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A Convolutional Neural Network (CNN) is a type of deep neural network primarily used for analyzing visual imagery. Unlike traditional neural networks, CNNs are designed to process pixel data by using a mathematical operation called convolution. This allows them to automatically and adaptively learn spatial hierarchies of features from input images, from low-level features like edges and textures to high-level features like shapes and objects.
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![CNN architecture](Typical_cnn.png)
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![CNN architecture](typical_cnn.png)
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Typical CNN architecture by Aphex34, licensed under
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[CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/).

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