Dec 19, 2019
In this episode, we are focusing on Deep Learning Optimizers, the different Gradient Descent Variants from vanilla GD to RAdam and Ranger. Levente tells us the story of GD from the simplest ones to the newest ones. This is part 1.
Levente's Linkedin URL:
Dec 12, 2019
In this episode, we interview Renee Ahel, who is a Lead AI Expert at Cirtuo and a freelance data scientist in Croatia. He is dealing with Machine Learning since 2003, and recently he is working on Tree-based methods, with which he solves procurement problems. He is also dealing with Expert systems, you will...
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...
Dec 7, 2019
In this episode, we talked about the idea behind GANs in general and two special types of GANs: Progressively Growing GANs and Style GANs.
LinkedIn URL of Alexandr Honchar:
Companies where Alex...