Machine learning with neural networks is sometimes said to be part art and part science. Dr. James McCaffrey of Microsoft Research teaches both with a full-code, step-by-step tutorial. A binary ...

Artificial neural networks are viable models for a wide variety of problems, including pattern classification, speech synthesis and recognition, adaptive interfaces between humans and complex ...

Perceptron is a foundational artificial neural network concept, effectively solving binary classification problems by mapping input features to an output decision. By merging concepts from neural ...

In neural networks and artificial intelligence research, the difficulty for the system to provide a suitable explanation for how it arrived at an answer is referred to as “the black box problem.” Just ...

McCaffrey looks at two approaches to implement neural network binary classification. In a classification problem, the goal is to predict the value of a variable that can take one of several discrete ...