What’s Under the Hood of Neural Networks?
( go to the article → https://insidebigdata.com/2020/10/16/whats-under-the-hood-of-neural-networks/ )
In this contributed article, Pippa Cole, Science Writer at the London Institute for Mathematical Sciences, discusses new research on artificial neural networks that has added to concerns that we don’t have a clue what machine learning algorithms are up to under the hood. She highlights a new study that focuses on two completely different deep-layered machines, and found that in fact they did exactly the same thing, which was a huge surprise. It’s a demonstration of how little we understand about the inner workings of deep-layered neural networks.
Oct. 16, 2020, 1 p.m.
You may be interested in:
Newest in: Deep Learning
Genesis of a Model Intelligence Platform – Truera
XAI: Are We Looking Before We Leap?
How to Choose an Activation Function for Deep Learning
-Newest in: Neural Networks
What’s Under the Hood of Neural Networks?
Research Highlights: Attention Condensers
%tensorboard – a new way to use TensorBoard on Databricks
-Newest in: Opinion
Genesis of a Model Intelligence Platform – Truera
Best Practices for Data Search, Aggregation and Security in a Global Pandemic
-