# Convolutional Neural Network (CNN) ![Source: Towards Data Science](https://2327526407-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-LvBP1svpACTB1R1x_U4%2F-LvHJ32JL_4hyT9PVdc0%2F-LvHSjfW_yCbwBPotco2%2Fimage.png?alt=media\&token=58215265-4ec2-484f-9721-5094fc0bd328) A Convolutional Neural Network (CNN), sometimes referred to as a ConvNet, is the most well-known image recognition and classification algorithm. CNNs were one of the key innovations that led to the deep neural network renaissance in computer vision, which is a subset of machine learning. A typical CNN consists of a combination of convolutional, pooling, and dense layers. ### Run a CNN sample project from the ML Showcase! {% embed url="" %} --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://machine-learning.paperspace.com/wiki/convolutional-neural-network-cnn.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.