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About ML datasets results of 372

Relevance
Machine Learning Fairness: Lessons Learned (Google I/O'19)36:23

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


12
B1
Introduction to large language models15:46

Introduction to large language models


15
B1
Announcing TensorFlow 2.004:10

Announcing TensorFlow 2.0


3
B1
Working with TensorFlow Datasets (TensorFlow Meets)08:11

Working with TensorFlow Datasets (TensorFlow Meets)


1
A2
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
A2
Cell Instance Segmentation for Automated quantifcation of HER2 amplification levels04:57

Cell Instance Segmentation for Automated quantifcation of HER2 amplification levels


6
B2
The ML Awards S01E0150:34

The ML Awards S01E01


10
B1
The new iPad Pro + M4 chip04:01

The new iPad Pro + M4 chip


5
B2
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
B1
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
A2
Grundsätzliche Computer Vision mit ML (ML Zero to Hero, Teil 2)08:08

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


5
B2
Purell LTX-7 Touch Free 700 mL Hand Sanitizer Dispenser Kit01:00

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


4
B2
Collaborative ML with TensorBoard.dev (TF Dev Summit '20)05:47

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


2
B1
Discord- AMV {OTGW/AT/ML/SVTFOE/GF}03:13

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


12
B2
How much is 2/3 cup in grams, liters, ml, oz, and tablespoons & teaspoons?02:36

How much is 2/3 cup in grams, liters, ml, oz, and tablespoons & teaspoons?


5
B1
머신러닝의 소개 (ML Zero to Hero 1부)08:11

머신러닝의 소개 (ML Zero to Hero 1부)


4
B2
ML solutions for Live Perception (TF Dev Summit '20)16:40

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


4
B1
Thank you for your interest in Astronomer01:01

Thank you for your interest in Astronomer


5169
B2
TFX: Production ML pipelines with TensorFlow (TF World '19)41:46

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


5
B1
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!


5
A2
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)


2
B1
TensorFlow Lite for on-device ML  (TensorFlow Meets)07:24

TensorFlow Lite for on-device ML (TensorFlow Meets)


4
A2
이미지 분류기 구축하기 (ML Zero to Hero 4부)07:01

이미지 분류기 구축하기 (ML Zero to Hero 4부)


6
B2
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
B2
Classification using neural networks & ML regression models (#AskTensorFlow)06:56

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


4
A2
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
B1
ML & AI sandbox demos at Google I/O 201902:44

ML & AI sandbox demos at Google I/O 2019


6
B1
NeurIPS 2024 (an AI/ML conference of high impact): A few posters from the poster sessions #ai #ml04:37

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


19
B2
컨볼루셔널 뉴럴네트워크의 소개 (ML Zero to Hero 3부)06:53

컨볼루셔널 뉴럴네트워크의 소개 (ML Zero to Hero 3부)


5
B2
Build an image classifier (ML Zero to Hero, part 4)05:27

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


1
B1
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
B1
머신러닝 기반의 기본적인 컴퓨터 비전 (ML Zero to Hero 2부)08:42

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


6
B2
Democratizing Ultrasound via ML (TF Dev Summit '19)05:15

Democratizing Ultrasound via ML (TF Dev Summit '19)


3
B2
What exactly is this TFX thing? (TensorFlow Extended)05:46

What exactly is this TFX thing? (TensorFlow Extended)


4
B1
Introduction to Large Language Models16:11

Introduction to Large Language Models


20
B1
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)


4
B1
Einführung in Maschinelles Lernen (ML Zero to Hero, Teil 1)08:11

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


5
B2
Intro to Machine Learning (ML Zero to Hero, part 1)07:18

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


7
A2
Introducción a Machine Learning (ML Zero to Hero, parte 1)06:19

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


4
B2
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
B1
Apple’s Arm-based M1 Mac event in 10 minutes10:23

Apple’s Arm-based M1 Mac event in 10 minutes


10
B1
Fried Gochujang (Yakgochujang: 약고추장)06:29

Fried Gochujang (Yakgochujang: 약고추장)


3
B1
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
B1
Erstellen eines Bildklassifizierers (ML Zero to Hero, Teil 4)06:26

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


7
B2
How To Clean Leather Shoes01:33

How To Clean Leather Shoes


36684
B2
Introducing convolutional neural networks (ML Zero to Hero, part 3)05:33

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


1
B1
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