Testing in machine learning: checking deep learning models (Ep. 118)

In this episode I speak with Adam Leon Smith, CTO at DragonFly and expert in testing strategies for software and machine learning.
We cover testing with deep learning (neuron coverage, threshold coverage, sign change coverage, layer coverage, etc.), combinatorial testing and their practical aspects.

On September 15th there will be a live@Manning Rust conference. In one Rust-full day you will attend many talks about what’s special about rust, building high performance web services or video game, about web assembly and much more.
If you want to meet the tribe, tune in september 15th to the live@manning rust conference.


Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Data Science

Discord community chat

Join our Discord community to discuss the show, suggest new episodes and chat with other listeners!


Support us