Pattern Recognition and Machine Learning by Christopher Bishop #podcast

Introduction - Machine Learning # 1

DeiT - Data-efficient image transformers & distillation through attention (paper illustrated)

Graphical Models 1 - Christopher Bishop - MLSS 2013 Tübingen

Graphical Models 3 - Christopher Bishop - MLSS 2013 Tübingen

Graphical Models 2 - Christopher Bishop - MLSS 2013 Tübingen

DINO: 自己教師ありビジョントランスフォーマーにおける新たな特性（論文掲載）

MusicGen paper explained

ai training methods

Top AI (computer vision) papers of 2020

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows (paper illustrated)

Deep Learning: Regularization - Part 5

Simulated Annealing x SGD x Mini-batch | Machine Learning #9

Deep Learning: Regularization - Part 5 (WS 20/21)

Performance Measures - Machine Learning # 3

Multiclass classification & Cross Validation - Machine Learning # 4

Polynomial Regression w Luis Serrano & YouTube's Video recommender Algorithm | Machine Learning # 8

Ridge Regression | Tikhonov Regularization | Machine Learning #10

Linear Regression | Machine Learning # 7

Stochastic Gradient Descent Classifier - Machine Learning # 2