Deep Learning with Adam Gibson

03/16/15 • 26 min

In our second episode we interview Adam Gibson, creator of the DeepLearning4J open source project. It turns out that deep learning really is a major breakthrough for machine learning, both conceptually, and as evidenced by the benchmarks.

Links!

Links!

Previous Episode

Functional Reactive Programming - Elm and ReactJS

Each episode we’ll focus on one idea from computer science and try to understand how it fits into our world as professional programmers.

In this episode we discuss functional reactive programming as represented by the Elm language, and how it’s influencing web development through the recent popularity of ReactJS

Links:

Asynchronous Functional Reactive Programming for GUIs (The Elm paper)
Interview with ReactJS contributor Pete Hunt on Giant Robots podcast
Immediate Mode GUIs (Article from Game Development Magazine)

Next Episode

Software Testing and Test Effectiveness

Each episode we focus on one idea from computer science and try to understand how it fits into our world as professional programmers.

This episode we welcome our guest host, Sergey Astretsov, to discuss the paper “Coverage and Its Discontents” about the use of code coverage as a proxy for test effectiveness. From there we debate when and why to test, discuss the relationship between commenting and testing, and generally digress.

Links: