Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

a deep learning neural network to an econometric or other statistical model. This chapter discusses selected methods that are applied to optimize machine learning algorithms. Artificial Intelligence ...

Baidu is seeking a patent for a method of using machine and deep learning to translate animal sounds into human language.

This chapter describes some of the subdomains of artificial intelligence (AI). These include: machine learning, deep learning, neural networks, natural language processing (NLP), computer vision, and ...

Image-based recognition using convolutional neural networks (CNNs), especially architectures like ResNet and YOLO, dominate ...

Despite the widespread success of neural networks, their susceptibility to adversarial examples remains a significant challenge. Adversarial training (AT) has emerged as an effective approach to ...

Central Connecticut State University announced Thursday it has recently launched a Master of Science in Artificial ...

As artificial ... machine learning technique to predict a continuous variable (response or target) from a set of other variables (features or predictors). You'll eventually understand how tree-based ...

This course gives a basic introduction to machine learning (ML) and artificial intelligence (AI ... The course covers supervised classification based on e.g., artificial neural networks (deep learning ...