44 min listen
200 Tools, Blurry to Photorealistic, and Logical Neural Networks
FromJournal Club
ratings:
Length:
33 minutes
Released:
Jul 14, 2020
Format:
Podcast episode
Description
This week we have our regular panel of Lan, George and Kyle! George brings us a blog post "What I Learned From Looking at 200 Machine Learning Tools." Which, the author, talks about a list complied of all of the AI/ML tools he could find. Lan brings us a news article "Making Blurry Faces Photorealistic Only Goes So Far." This article discusses how AI researchers discover inherent resolution limit to "upsampling" of pixelated faces. Last but not least, Kyle brings us the paper for this week! He brings the paper, "Logical Neural Networks." This paper proposes a novel framework seamlessly providing key properties of both neural nets (learning) and symbolic logic (knowledge and reasoning). All works are linked in the show notes.
Released:
Jul 14, 2020
Format:
Podcast episode
Titles in the series (27)
Chess Transformer, Kaggle Scandal, and Interpretability Zoo: Welcome to a brand new show from Data Skeptic entitled "Journal Club". Each episode will feature a regular panel and one revolving guest seat. The group will discuss a few topics related to data science and focus on one featured scholarly paper which... by Journal Club