About ML datasets results of 475

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Machine Learning Fairness: Lessons Learned (Google I/O'19)

36:23

Machine Learning Fairness: Lessons Learned (Google I/O'19)

12

Introduction to large language models

15:46

Introduction to large language models

15

Working with TensorFlow Datasets (TensorFlow Meets)

08:11

Working with TensorFlow Datasets (TensorFlow Meets)

1

Announcing TensorFlow 2.0

04:10

Announcing TensorFlow 2.0

3

Using GPUs in TensorFlow, TensorBoard in notebooks, finding new datasets, & more! (#AskTensorFlow)

12:56

Using GPUs in TensorFlow, TensorBoard in notebooks, finding new datasets, & more! (#AskTensorFlow)

4

The ML Awards S01E01

50:34

The ML Awards S01E01

9

Basic Computer Vision with ML (ML Zero to Hero, part 2)

07:24

Basic Computer Vision with ML (ML Zero to Hero, part 2)

1

Grundsätzliche Computer Vision mit ML (ML Zero to Hero, Teil 2)

08:08

Grundsätzliche Computer Vision mit ML (ML Zero to Hero, Teil 2)

4

Jacquard: Embedding ML seamlessly into everyday objects (TF Dev Summit '20)

10:15

Jacquard: Embedding ML seamlessly into everyday objects (TF Dev Summit '20)

1

Discord- AMV {OTGW/AT/ML/SVTFOE/GF}

03:13

Discord- AMV {OTGW/AT/ML/SVTFOE/GF}

11

머신러닝의 소개 (ML Zero to Hero 1부)

08:11

머신러닝의 소개 (ML Zero to Hero 1부)

3

Collaborative ML with TensorBoard.dev (TF Dev Summit '20)

05:47

Collaborative ML with TensorBoard.dev (TF Dev Summit '20)

2

Purell LTX-7 Touch Free 700 mL Hand Sanitizer Dispenser Kit

01:00

Purell LTX-7 Touch Free 700 mL Hand Sanitizer Dispenser Kit

3

Best Resources for Learning Machine Learning? What Is ML Anyway? Q&A with ML Engineers!

12:01

Best Resources for Learning Machine Learning? What Is ML Anyway? Q&A with ML Engineers!

4

ML solutions for Live Perception (TF Dev Summit '20)

16:40

ML solutions for Live Perception (TF Dev Summit '20)

4

TFX: Production ML pipelines with TensorFlow (TF World '19)

41:46

TFX: Production ML pipelines with TensorFlow (TF World '19)

5

TensorFlow Lite for on-device ML (TensorFlow Meets)

07:24

TensorFlow Lite for on-device ML (TensorFlow Meets)

3

이미지 분류기 구축하기 (ML Zero to Hero 4부)

07:01

이미지 분류기 구축하기 (ML Zero to Hero 4부)

5

Classification using neural networks & ML regression models (#AskTensorFlow)

06:56

Classification using neural networks & ML regression models (#AskTensorFlow)

4

NeurIPS 2024 (an AI/ML conference of high impact): A few posters from the poster sessions #ai #ml

04:37

NeurIPS 2024 (an AI/ML conference of high impact): A few posters from the poster sessions #ai #ml

18

ML & AI sandbox demos at Google I/O 2019

02:44

ML & AI sandbox demos at Google I/O 2019

6

TFX: Production ML with TensorFlow in 2020 (TF Dev Summit '20)

24:22

TFX: Production ML with TensorFlow in 2020 (TF Dev Summit '20)

3

TensorFlow.js: ML for the web and beyond (TF Dev Summit '20)

11:15

TensorFlow.js: ML for the web and beyond (TF Dev Summit '20)

1

컨볼루셔널 뉴럴네트워크의 소개 (ML Zero to Hero 3부)

06:53

컨볼루셔널 뉴럴네트워크의 소개 (ML Zero to Hero 3부)

5

Cell Instance Segmentation for Automated quantifcation of HER2 amplification levels

04:57

Cell Instance Segmentation for Automated quantifcation of HER2 amplification levels

3

TensorFlow Lite: ML for mobile and IoT devices (TF Dev Summit '20)

14:40

TensorFlow Lite: ML for mobile and IoT devices (TF Dev Summit '20)

6

Build an image classifier (ML Zero to Hero, part 4)

05:27

Build an image classifier (ML Zero to Hero, part 4)

1

머신러닝 기반의 기본적인 컴퓨터 비전 (ML Zero to Hero 2부)

08:42

머신러닝 기반의 기본적인 컴퓨터 비전 (ML Zero to Hero 2부)

6

Thank you for your interest in Astronomer

01:01

Thank you for your interest in Astronomer

4977

How to get started with AI/ML, retraining models, & more! (#AskTensorFlow)

05:54

How to get started with AI/ML, retraining models, & more! (#AskTensorFlow)

6

Democratizing Ultrasound via ML (TF Dev Summit '19)

05:15

Democratizing Ultrasound via ML (TF Dev Summit '19)

2

Fluffy and Delicious Japanese street food! $1 Cheap ingredients! Easy homemade Souffle pancake

04:13

Fluffy and Delicious Japanese street food! $1 Cheap ingredients! Easy homemade Souffle pancake

92

Introducción a Machine Learning (ML Zero to Hero, parte 1)

06:19

Introducción a Machine Learning (ML Zero to Hero, parte 1)

4

Einführung in Maschinelles Lernen (ML Zero to Hero, Teil 1)

08:11

Einführung in Maschinelles Lernen (ML Zero to Hero, Teil 1)

4

Intro to Machine Learning (ML Zero to Hero, part 1)

07:18

Intro to Machine Learning (ML Zero to Hero, part 1)

7

Computer vision básica con ML (ML Zero to Hero, parte 2)

06:20

Computer vision básica con ML (ML Zero to Hero, parte 2)

7

ML with Recurrent Neural Networks (NLP Zero to Hero - Part 4)

05:59

ML with Recurrent Neural Networks (NLP Zero to Hero - Part 4)

11

Erstellen eines Bildklassifizierers (ML Zero to Hero, Teil 4)

06:26

Erstellen eines Bildklassifizierers (ML Zero to Hero, Teil 4)

6

Easy on-device ML from prototype to production (TF Dev Summit '20)

16:30

Easy on-device ML from prototype to production (TF Dev Summit '20)

2

Data analytics making sense of complex earth processes

02:09

Data analytics making sense of complex earth processes

114

Unlocking the power of ML for your JavaScript applications with TensorFlow.js (TF World '19)

43:36

Unlocking the power of ML for your JavaScript applications with TensorFlow.js (TF World '19)

3

Introducing convolutional neural networks (ML Zero to Hero, part 3)

05:33

Introducing convolutional neural networks (ML Zero to Hero, part 3)

1

Mod-03 Lec-08 Bayesian Estimation examples; the exponential family of densities and ML estimates

57:05

Mod-03 Lec-08 Bayesian Estimation examples; the exponential family of densities and ML estimates

65

Construye un clasificador de imagen (ML Zero to Hero, parte 4)

05:50

Construye un clasificador de imagen (ML Zero to Hero, parte 4)

2

Introdução ao Machine Learning (ML de Zero a 100, parte 1)

06:51

Introdução ao Machine Learning (ML de Zero a 100, parte 1)

4

Fish cake soup (Eomukguk: 어묵국)

08:37

Fish cake soup (Eomukguk: 어묵국)

45