Machine Learning in Haskell
AI and machine learning are huge topics in technology. In this series, we'll explore how Haskell's unique features as a language can be valuable in crafting better AI programs. In particular, we'll explore some advanced concepts in type safety, and apply these to the machine learning framework Tensor Flow. We'll also look at another library that uses similar ideas with Neural Networks.
Haskell and Tensor Flow
AI systems are beginning to impact our lives more and more. It's a very important element to how ...
Haskell, AI, and Dependent Types I
I often argue that Haskell is a safe language. There are a lot of errors we will catch at compile...
Haskell, AI, and Dependent Types II
In part 2 we dove into the world of dependent types. We linked tensors with their shapes at the t...
Grenade and Deep Learning
In part 2 and part 3 of this series, we explored some of the most complex topics in Haskell. We e...