Updates

Author: madeline-underwood

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

@@ -14,8 +14,7 @@ You will train a lightweight CNN to classify images of the letters R, P, and S a
 ### What is a Convolutional Neural Network (CNN)?
 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.
 
-![Image of a convolutional neural network architecture](image.png)
-[Image credits](https://medium.com/@atul_86537/learning-ml-from-first-principles-c-linux-the-rick-and-morty-way-convolutional-neural-c76c3df511f4).
+A convolutional neural network (CNN) is a deep neural network designed to analyze visual data using the **convolution** operation. CNNs learn spatial hierarchies of features - from edges and textures to shapes and objects - directly from pixels.
 
 CNNs are the backbone of many modern computer vision applications, including: