28:25
School of AI Wizards (Yash Mittal, computer vision & AI expert and winner of an AI challenge)
Beril Sirmacek & William Kallfelz
Shared 08/12/2018
01:46:04
Machine Learning & AI Introduction + Explainable AI methods
Beril Sirmacek & William Kallfelz
Shared 09/11/2021
01:12:12
Sayak Paul Google Developer Expert ~ Model Optimization ~ School of AI NL
Beril Sirmacek & William Kallfelz
Shared 31/08/2021
01:50:43
XAI course 2020 ~ Module3 ~ XAI methods
Beril Sirmacek & William Kallfelz
Shared 30/09/2020
01:22:53
Unsupervised Learning (Machine Learning TMLS20_T0139 Spring 2020)
Beril Sirmacek & William Kallfelz
Shared 11/03/2020
01:11:05
Reinforcement Learning (Machine Learning TMLS20_T0139 Spring 2020)
Beril Sirmacek & William Kallfelz
Shared 04/03/2020
51:59
Neural Networks (Machine Learning TMLS20_T0139 Spring 2020)
Beril Sirmacek & William Kallfelz
Shared 18/02/2020
46:12
Discovering Symbolic Models from Deep Learning with Inductive Biases (Paper Explained)
Yannic Kilcher
Shared 25/06/2020
38:28
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study (Paper Explained)
Yannic Kilcher
Shared 20/08/2020
09:57
FAU Deep Learning - Regularization (Part 3)
AIP - State-of-the-Art AI Research
Shared 17/11/2020
11:09
FAU Deep Learning - Regularization (Part 1)
AIP - State-of-the-Art AI Research
Shared 17/11/2020
01:11:28
NYU Deep Learning Week 14 – Practicum: Overfitting and regularization, and Bayesian neural nets
AIP - State-of-the-Art AI Research
Shared 05/10/2020
01:39:26
NYU Deep Learning Week 8– Lecture: Contrastive methods and regularized latent variable models
AIP - State-of-the-Art AI Research
Shared 15/07/2020