AI News, Concise Visual Summary of Deep Learning Architectures
- On Wednesday, October 17, 2018
- By Read More
Concise Visual Summary of Deep Learning Architectures
This article was written by Fjodor Van Veen. With new neural network architectures popping up every now and then, it’s hard to keep track of them all.
Though all of these architectures are presented as novel and unique, when I drew the node structures… their underlying relations started to make more sense.
I should add that this overview is in no way clarifying how each of the different node types work internally (but that’s a topic for another day).
That’s not the end of it though, in many places you’ll find RNN used as placeholder for any recurrent architecture, including LSTMs, GRUs and even the bidirectional variants.
Many abbreviations also vary in the amount of “N”s to add at the end, because you could call it a convolutional neural network but also simply a convolutional network (resulting in CNN or CN).
- On Thursday, June 27, 2019
Crypto Defenses for Real-World System Threats - Kenn White - Ann Arbor
Modern encryption techniques provide several important security properties, well known to most practitioners. Or are they? What are in fact the guarantees of, ...
A Behind the Scenes Look at Creating DARPA's Cyber Analytic Framework (Mudge) - Duo Tech Talk
While at DARPA, Mudge created the Analytic Framework for Cyber. DARPA used (and still uses) this framework to evaluate and determine the areas of research ...
Introducing AgilePQ DCM (Digital Conversion Module)
Presented on January 6, 2017, this webinar featured a presentation from three AgilePQ speakers on cryptography and the AgilePQ Digital Conversion Module ...