MLT Deep Learning: Introduction and Loss functions

Transformers with Lucas Beyer, Google Brain

MLT __init__ Session #17: LLM int8

Text-to-Image Generation – Deep Dive into DALL-E 2, Imagen, Parti, VQGAN with Jerry Chi

AI at Scale in Rakuten’s Recommendation Systems with Phuc Le

A Practical Tutorial on Building Machine Learning Demos with Gradio

MLT __init__ Session #16: SeamlessGAN

DL with Python: Generative deep learning (Chapter 12)

Statistics: Estimators, asymptotic theory, and random variable convergence 2 with Michal Fabinger

Statistics: Estimators asymptotic theory and random variable convergence 1 with Michal Fabinger

Statistics: Dependence of random variables and conditional distributions 3 with Michal Fabinger

Statistics: Dependence of random variables and conditional distributions 1 with Michal Fabinger

Statistics: Dependence of random variables and conditional distributions 2 with Michal Fabinger

DL with Python: Deep learning for text (Chapter 11 2/2)

DL with Python: Deep learning for text (Chapter 11 1/2)

Zero-to-1: How to start a career in ML

MLT __init__ Session #15: Deep Learning on a Data Diet

DL with Python: Deep learning for Time series (Chapter 10)

Statistics: Shapes and Moments of Probability Distributions 2 with Michal Fabinger

Statistics: Shapes and Moments of Probability Distributions 1 with Michal Fabinger

MLT – Machine Learning Tokyo

DL with Python: Advanced deep learning for computer vision (Chapter 9)

DL with Python: Introduction to deep learning for computer vision (Chapter 8)

DL with Python: Working with Keras: A deep dive (Chapter 7)

DL with Python: Fundamentals of machine learning (Chapter 5)