A Convolutional Neural Network is a deep learning algorithm tailored for analysing visual data such as images and videos.

How do convolutional neural networks work? CNNs work by passing image data through multiple layers. Each layer extracts increasingly complex features.

Pooling layers play a key role in deep neural networks, especially in convolutional neural networks (CNNs). In this video, we break down what pooling layers do, how they reduce spatial dimensions, and ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI.

What Are Convolutional Neural Networks? Neural networks are systems, or structures of neurons, that enable AI to better understand data, allowing it to solve complex problems. While there are numerous ...

How do convolutional neural networks work? Convolutional neural networks work by extracting features from input data through convolutional layers and learning to classify the input data through ...

If you are wondering what is a neural network and how do they work in regards to artificial intelligence. This guide will provide insight ...