What's the Difference Between CNN and RNN? | TELUS International

Artificial neural networks are the brains behind some of the most sophisticated applications of artificial intelligence (AI). But that doesn’t mean understanding the different types needs to be complicated. When it comes to artificial neural networks — computing systems that mimic components of the brain — there are serious differences in type. Understanding these distinctive forms, and their nuances and varied applications, could make the difference between success and failure in your next AI and machine learning initiative. In machine learning, each type of artificial neural network is tailored to perform certain sets of tasks. In order to explain these tasks and the best approaches to completing them, this article will introduce two types of artificial neural networks: convolutional neural networks (CNNs) and recurrent neural networks (RNNs). Read on to learn about both types, associated key terms and the real-life applications deployed today, particularly in computer vision. The ma

Artificial neural networks are the brains behind some of the most sophisticated applications of artificial intelligence (AI). But that doesn’t mean understanding the different types needs to be complicated. When it comes to artificial neural networks — computing systems that mimic components of the brain — there are serious differences in type. Understanding these distinctive forms, and their nuances and varied applications, could make the difference between success and failure in your next AI and machine learning initiative. In machine learning, each type of artificial neural network is tailo