Neural Network Lab The differences between neural network binary classification and multinomial classification are surprisingly tricky. 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 values. For example, you might want to predict the political inclination (conservative, moderate, liberal) of a person based on their age, income and other features.
