Here you’ll find everything about convolutional neural networks, whether it’s Python tutorials on image classification or conceptual articles.
A convolutional neural network (CNN) is a type of artificial neural network that is commonly used in computer vision tasks. It is specifically designed to process data that has a grid-like structure, such as an image. A CNN works by applying a series of filters to the input data, which can extract and learn spatial and temporal features from the data. These filters are typically organized in multiple layers, with each layer learning increasingly complex features. The output of a CNN can be used for tasks such as image classification, object detection, and semantic segmentation.
This tutorial shows how to use Convolutional Neural Networks (CNNs) with Python for image classification. CNNs belong to the field of deep learning, a subarea of machine learning, and have become a cornerstone to many exciting innovations. There are endless applications, from self-driving cars over biometric security to automated tagging in social media. And the … Read more
