作者:禅与计算机程序设计艺术
1.简介
Convolutional Neural Networks (CNNs) have become one of the most popular deep learning models for image classification tasks. In recent years, they have revolutionized computer vision and are widely used in applications such as object recognition, detection, and segmentation. This article will explain what is a Convolutional Neural Network (CNN), its basic components, and how it works. It also includes implementation details using Python programming language with TensorFlow library and several real-world examples to demonstrate how CNNs work in practice. Finally, we will discuss some potential issues and challenges that may arise when applying CNNs to real-world problems.