Dec 7, 2019
In this Episode we talked about the deep neural networks and the spectral density of each layer's weights. It turns out, you can predict the accuracy ( and many more) with the WeigthWatcher application. We talk about the 5+1 Phases of learning and Heavy Tailed Self Regularization.
Charles Martin, PhD on LinkedIn:
During the episode we talked about these
Why Deep Learning works? post by Charles Martin, 2015
Presentation at Berkeley: Why Deep Learning works? by Charles Martin, 2016
Several Papers written by Charles Martin and Michael
Newest blog post about weightwatcher, 2019 December:
WeightWatcher on GitHub:
easy installation for python users:
pip install weightwatcher
How to reach out:
To access their slack channel please contact Charles first.
Music is from https://filmmusic.io , intro first part is by Miklos Toth and some free garage band loops. :) intro second part: "Aces High" by Kevin MacLeod, outro "Acid Trumpet" by Kevin MacLeod (https://incompetech.com), License: CC BY (http://creativecommons.org/licenses/by/4.0/)