What you'll learn

Machine learning used to require a command of advanced mathematics, years of university training, and expensive hardware. With better open source tools and online resources, it’s easier to create robust neural networks. It’s possible to learn the fundamentals of machine learning and experiment with different architectures to create your own optimized solutions. In this conference talk, Jim Wilson will cover the basics of neural nets and how to use Google Colab notebooks, Python, and the fastai/PyTorch libraries to develop your own customized neural networks for free.