[Click on image for larger view.] Figure 1: Binary Classification Using a scikit Neural Network After training, the model is applied to the training data and the test data. The model scores 93 percent ...

A binary classification problem is one where the goal is to predict the value of a variable where there are exactly two discrete possibilities. For example, you might want to predict the sex of a ...

Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back ...

In this video, we will see what is Cost Function, what are the different types of Cost Function in Neural Network, and which ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...