Interpreting what neural networks are doing is a tricky problem. In fact, they are often referred to as a “black box.”

In this video Arxiv dives into the approach of feature visualization. From simple neuron excitation to the Deep Visualization Toolbox and the Google DeepDream project.

Watch to open up that black box!

While at NDC in Sydney, Carl and Richard talked to Joe Albahari about using LINQPad to create neural nets from scratch.


LINQPad is an interactive development environment for .NET – originally focused on helping you build LINQ expressions. But as Joe explains, it can be used for all sorts of interactive coding experiences – including learning to build neural networks. Joe talks through the fundamentals of neural nets and what it’s like to build neural nets yourself. Even if you move on to more advanced machine learning tooling, learning the fundamentals are useful!

Joe Albahari is an O’Reilly author and the inventor of LINQPad. He’s written seven books on C# and LINQ, including the upcoming “C# 7.0 in a Nutshell”. He speaks regularly at conferences and user groups, and has been a C# MVP for nine years running.

Press the play button below to listen here or visit the show page.

Here is a primer to introduce the concepts of deep learning with a specific focus on computer vision. It covers concepts including CNN’s (Convolutional Neural Networks), deep learning and transfer learning. It was created as an introduction for people getting started with machine learning and specifically deep learning to explain some of the commonly used terms and introduce some of the popular approaches to solving computer vision challenges.