56:20

Transformers with Lucas Beyer, Google Brain

26:49

MLT __init__ Session #17: LLM int8

47:14

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

01:11:45

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

47:06

A Practical Tutorial on Building Machine Learning Demos with Gradio

31:06

MLT __init__ Session #16: SeamlessGAN

01:09:13

DL with Python: Generative deep learning (Chapter 12)

01:05:20

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

01:23:44

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

01:24:57

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

52:53

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

01:11:24

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

01:01:18

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

01:01:21

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

34:54

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

35:45

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

57:43

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

57:38

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

51:33

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

01:36

MLT – Machine Learning Tokyo

57:23

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

57:55

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

01:03:20

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

57:18

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

55:49

DL with Python: Getting started with neural networks (Chapter 4)

01:00:14

Deep Learning with Python: Introduction to Keras and TensorFlow (Chapter 3)

01:20:45

Deep Learning with Python: Mathematical building blocks of neural networks (Chapter 2)

55:32

A rigorous introduction to probability theory: Lecture 4 with Michal Fabinger

52:16

Deep Learning with Python: What is deep learning? (Chapter 1)

51:37

A rigorous introduction to probability theory: Lecture 3 with Michal Fabinger

26:30

MLT __init__ Session #13: Multitask Prompted Training Enables Zero-Shot Task Generalization

35:06

Data Labeling for Search Relevance Evaluation with Dmitry Ustalov

49:47

A rigorous introduction to probability theory: Lecture 2 with Michal Fabinger

49:33

A rigorous introduction to probability theory: Lecture 1 with Michal Fabinger

23:40

MLT __init__ Session #12: SimCLR

16:25

MLT __init__ Session #11: ResNet strikes back

22:10

From Transformers to Datasets: The HuggingFace open-source ecosystem (Thomas Wolf, CSO Hugging Face)

16:53

Large language models in production: opportunities and challenges applying AI to patents (Sam Davis)

35:23

Good ML UX needs "AI" (Chris Gerpheide, CTO, Bespoke)

22:29

NLP Applications in Finance

02:41:11

NLP with Transformers and the Hugging Face Ecosystem with Lewis Tunstall and Leandro von Werra

29:41

MLT __init__ Session #10: Rethinking Importance Weighting

30:18

Large Language Models and the Future of AI with Connor Leahy, EleutherAI

55:57

EdgeAI Lab with Microcontrollers Session #4: Edge AI Projects Sharing & Feedback

55:01

MLT __init__ Session #9: Self-Distillation as Instance-Specific Label Smoothing

38:10

EdgeAI Lab with Microcontrollers Session #3: Audio based Application

56:00

EdgeAI Lab with Microcontrollers Session #2: Motion Based Application using IMU

47:15

EdgeAI Lab with Microcontrollers Session #1: Overview of EdgeAI Applications

20:59

MLT __init__ Session #8: Filter Pruning via Geometric Median

11:14

Happy Birthday MLT!

27:12

MLT __init__ Session #7: An Image is Worth 16x16 Words

53:23

MLT Community Hangout #4

01:06:54

Dive into Deep Learning: Coding Session #6 GANs (Americas/EMEA)

01:26:11

Dive into Deep Learning: Coding Session #6 GANs (APAC)

01:31:05

Dive into Deep Learning: Coding Session#5 Attention Mechanism II (Americas/EMEA)

01:29:51

Dive into Deep Learning: Coding Session #5 Attention Mechanism II (APAC)

38:17

MLT __init__ Session #6: Attention is all you need

01:23:25

Dive into Deep Learning: Coding Session #4 Attention Mechanism I (APAC)

01:39:43

Dive into Deep Learning: Coding Session #4 Attention Mechanism I (Americas/EMEA)

46:19

Machine Learning AMA with Laurence Moroney @Google I/O 2021