The differences between neural network binary classification and multinomial classification are surprisingly tricky. McCaffrey looks at two approaches to implement neural network binary classification ...

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 a classification problem, the goal is to predict the value of a variable that can take one of several discrete values. For example, you might want to predict the political inclination (conservative ...