Introduction to Neural Networks with PyTorch

Meet your instructors, get a short overview of what you'll be learning, check your prerequisites, and learn how to use the workspaces and notebooks found throughout the lessons.

In this lesson, Luis will give you solid foundations on deep learning and neural networks. You'll also implement gradient descent and backpropagation in Python right here in the classroom.

Mat will introduce you to a different error function and guide you through implementing gradient descent using numpy matrix multiplication.

Now that you know what neural networks are, in this lesson you will learn several techniques to improve their training.

Learn how to use PyTorch for building deep learning models.