What you should know

- [Instructor] Before starting this course, let's explore what skills and knowledge you will need. To truly be successful in this course, it will be helpful to have a basic Python programming knowledge. I assume you're familiar with the concepts and technologies behind deep learning, but you don't need any experience building models using neural networks, or NNs. In order to run our code, we will be using the Google Colaboratory environment, commonly known as Google Colab, which is available at colab.research.google.com. Google Colab, or short, Colab, is a free computing service that provides Jupyter Notebook instances that run on the cloud. The great thing is that notebooks can be saved on Google Drive or GitHub. Conveniently, all you need to start writing code is a Google account. Google provides free access to GPUs, or graphical processing units, which we will use for training our models. There are some limits on GPU usage, but it will be sufficient for our course. And that's about it. So let's get ready to jump into PyTorch in depth.