795 個「 ML modules 」的搜尋結果

依關聯性

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提花。將ML無縫嵌入到日常物品中（TF開發峰會'20) (Jacquard: Embedding ML seamlessly into everyday objects (TF Dev Summit '20))

10:15

提花。將ML無縫嵌入到日常物品中（TF開發峰會'20) (Jacquard: Embedding ML seamlessly into everyday objects (TF Dev Summit '20))

1

JavaScript ES6模塊 (JavaScript ES6 Modules)

07:39

JavaScript ES6模塊 (JavaScript ES6 Modules)

2

ML獎S01E04 (The ML Awards S01E01)

50:34

ML獎S01E04 (The ML Awards S01E01)

6

TensorFlow在生產中。TF Extended、TF Hub和TF Serving (Google I/O '18) (TensorFlow in production: TF Extended, TF Hub, and TF Serving (Google I/O '18))

36:49

TensorFlow在生產中。TF Extended、TF Hub和TF Serving (Google I/O '18) (TensorFlow in production: TF Extended, TF Hub, and TF Serving (Google I/O '18))

4

基礎計算機視覺與ML(ML Zero to Hero，第二部分) (Basic Computer Vision with ML (ML Zero to Hero, part 2))

07:24

基礎計算機視覺與ML(ML Zero to Hero，第二部分) (Basic Computer Vision with ML (ML Zero to Hero, part 2))

1

計算機視覺基礎與ML(ML Zero to Hero，第二部分) (Grundsätzliche Computer Vision mit ML (ML Zero to Hero, Teil 2))

08:08

計算機視覺基礎與ML(ML Zero to Hero，第二部分) (Grundsätzliche Computer Vision mit ML (ML Zero to Hero, Teil 2))

4

Purell LTX-7免觸碰洗手液700毫升分配器套裝 (Purell LTX-7 Touch Free 700 mL Hand Sanitizer Dispenser Kit)

01:00

Purell LTX-7免觸碰洗手液700毫升分配器套裝 (Purell LTX-7 Touch Free 700 mL Hand Sanitizer Dispenser Kit)

3

Discord- AMV {OTGW/AT/ML/SVTFOE/GF}）。 (Discord- AMV {OTGW/AT/ML/SVTFOE/GF})

03:13

Discord- AMV {OTGW/AT/ML/SVTFOE/GF}）。 (Discord- AMV {OTGW/AT/ML/SVTFOE/GF})

9

머신러닝의 소개 (ML Zero to Hero 1부) (머신러닝의 소개 (ML Zero to Hero 1부))

08:11

머신러닝의 소개 (ML Zero to Hero 1부) (머신러닝의 소개 (ML Zero to Hero 1부))

2

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

05:47

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

1

駕馭本土ES模塊的荒野之海，由Gil Tayar主持｜JSConf.Asia 2019 (Navigating the Wild Seas of Native ES Modules by Gil Tayar | JSConf.Asia 2019)

23:44

駕馭本土ES模塊的荒野之海，由Gil Tayar主持｜JSConf.Asia 2019 (Navigating the Wild Seas of Native ES Modules by Gil Tayar | JSConf.Asia 2019)

4

Live Perception的ML解決方案（TF Dev Summit '20）。 (ML solutions for Live Perception (TF Dev Summit '20))

16:40

Live Perception的ML解決方案（TF Dev Summit '20）。 (ML solutions for Live Perception (TF Dev Summit '20))

3

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

41:46

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

4

學習機器學習的最佳資源？ML到底是什麼？與ML工程師的問答 (Best Resources for Learning Machine Learning? What Is ML Anyway? Q&A with ML Engineers!)

12:01

學習機器學習的最佳資源？ML到底是什麼？與ML工程師的問答 (Best Resources for Learning Machine Learning? What Is ML Anyway? Q&A with ML Engineers!)

3

TensorFlow Lite for on-device ML (TensorFlow Meets) (TensorFlow Lite for on-device ML (TensorFlow Meets))

07:24

TensorFlow Lite for on-device ML (TensorFlow Meets) (TensorFlow Lite for on-device ML (TensorFlow Meets))

2

이미지 분류기 구하기 (ML Zero to Hero 4부) (이미지 분류기 구축하기 (ML Zero to Hero 4부))

07:01

이미지 분류기 구하기 (ML Zero to Hero 4부) (이미지 분류기 구축하기 (ML Zero to Hero 4부))

3

TensorFlow.js:網絡和其他領域的ML(TF Dev Summit '20) (TensorFlow.js: ML for the web and beyond (TF Dev Summit '20))

11:15

TensorFlow.js:網絡和其他領域的ML(TF Dev Summit '20) (TensorFlow.js: ML for the web and beyond (TF Dev Summit '20))

1

使用神經網絡和ML迴歸模型進行分類(#AskTensorFlow) (Classification using neural networks & ML regression models (#AskTensorFlow))

06:56

使用神經網絡和ML迴歸模型進行分類(#AskTensorFlow) (Classification using neural networks & ML regression models (#AskTensorFlow))

2

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

24:22

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

2

TensorFlow Lite:移動和物聯網設備的ML（TF Dev Summit '20）。 (TensorFlow Lite: ML for mobile and IoT devices (TF Dev Summit '20))

14:40

TensorFlow Lite:移動和物聯網設備的ML（TF Dev Summit '20）。 (TensorFlow Lite: ML for mobile and IoT devices (TF Dev Summit '20))

4

2019年穀歌I/O大會上的ML與AI沙盒演示。 (ML & AI sandbox demos at Google I/O 2019)

02:44

2019年穀歌I/O大會上的ML與AI沙盒演示。 (ML & AI sandbox demos at Google I/O 2019)

4

뉴컨볼루셔鍍널 뉴럴네트워크의 소개 (ML Zero to Hero 3부)。 (컨볼루셔널 뉴럴네트워크의 소개 (ML Zero to Hero 3부))

06:53

뉴컨볼루셔鍍널 뉴럴네트워크의 소개 (ML Zero to Hero 3부)。 (컨볼루셔널 뉴럴네트워크의 소개 (ML Zero to Hero 3부))

3

只需要一元美的成本！鬆軟美味的日本街頭小吃！簡單的舒芙蕾鬆餅（Fluffy and Delicious Japanese street food! $1 Cheap ingredients! Easy homemade Souffle pancake）

04:13

只需要一元美的成本！鬆軟美味的日本街頭小吃！簡單的舒芙蕾鬆餅（Fluffy and Delicious Japanese street food! $1 Cheap ingredients! Easy homemade Souffle pancake）

89

中文 B2 中高級

TensorFlow Hub：重用機器學習模塊(TensorFlow Meets) (TensorFlow Hub: reusing machine learning modules (TensorFlow Meets))

04:50

TensorFlow Hub：重用機器學習模塊(TensorFlow Meets) (TensorFlow Hub: reusing machine learning modules (TensorFlow Meets))

2

TensorFlow Extended（TFX）。機器學習管道和模型理解（Google I/O'19) (TensorFlow Extended (TFX): Machine Learning Pipelines and Model Understanding (Google I/O'19))

37:51

TensorFlow Extended（TFX）。機器學習管道和模型理解（Google I/O'19) (TensorFlow Extended (TFX): Machine Learning Pipelines and Model Understanding (Google I/O'19))

2

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

08:42

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

2

如何開始使用AI/ML，重新訓練模型等!(#AskTensorFlow) (How to get started with AI/ML, retraining models, & more! (#AskTensorFlow))

05:54

如何開始使用AI/ML，重新訓練模型等!(#AskTensorFlow) (How to get started with AI/ML, retraining models, & more! (#AskTensorFlow))

3

Mod-03 Lec-08 貝葉斯估計實例；密度的指數族和ML估計。 (Mod-03 Lec-08 Bayesian Estimation examples; the exponential family of densities and ML estimates)

57:05

Mod-03 Lec-08 貝葉斯估計實例；密度的指數族和ML估計。 (Mod-03 Lec-08 Bayesian Estimation examples; the exponential family of densities and ML estimates)

62

魚餅湯(Eomukguk: 어묵국) (Fish cake soup (Eomukguk: 어묵국))

08:37

魚餅湯(Eomukguk: 어묵국) (Fish cake soup (Eomukguk: 어묵국))

39

中文 B2 中高級

通過ML實現超聲的民主化（TF Dev Summit '19）。 (Democratizing Ultrasound via ML (TF Dev Summit '19))

05:15

通過ML實現超聲的民主化（TF Dev Summit '19）。 (Democratizing Ultrasound via ML (TF Dev Summit '19))

2

TFX這個東西到底是什麼？(TensorFlow Extended) (What exactly is this TFX thing? (TensorFlow Extended))

05:46

TFX這個東西到底是什麼？(TensorFlow Extended) (What exactly is this TFX thing? (TensorFlow Extended))

2

機器學習介紹（ML Zero to Hero，第一部分 (Introducción a Machine Learning (ML Zero to Hero, parte 1))

06:19

機器學習介紹（ML Zero to Hero，第一部分 (Introducción a Machine Learning (ML Zero to Hero, parte 1))

3

機器學習介紹（ML Zero to Hero，第一部分 (Einführung in Maschinelles Lernen (ML Zero to Hero, Teil 1))

08:11

機器學習介紹（ML Zero to Hero，第一部分 (Einführung in Maschinelles Lernen (ML Zero to Hero, Teil 1))

3

機器學習入門(ML Zero to Hero，第一部分) (Intro to Machine Learning (ML Zero to Hero, part 1))

07:18

機器學習入門(ML Zero to Hero，第一部分) (Intro to Machine Learning (ML Zero to Hero, part 1))

5

使用TensorFlow.js為你的JavaScript應用釋放ML的力量（TF World '19）。 (Unlocking the power of ML for your JavaScript applications with TensorFlow.js (TF World '19))

43:36

使用TensorFlow.js為你的JavaScript應用釋放ML的力量（TF World '19）。 (Unlocking the power of ML for your JavaScript applications with TensorFlow.js (TF World '19))

2

構建影像分類器（ML Zero to Hero，第4部分）。 (Build an image classifier (ML Zero to Hero, part 4))

05:27

構建影像分類器（ML Zero to Hero，第4部分）。 (Build an image classifier (ML Zero to Hero, part 4))

1

循環神經網絡的ML（NLP Zero to Hero--第4部分）。 (ML with Recurrent Neural Networks (NLP Zero to Hero - Part 4))

05:59

循環神經網絡的ML（NLP Zero to Hero--第4部分）。 (ML with Recurrent Neural Networks (NLP Zero to Hero - Part 4))

5

從原型到生產，輕鬆實現設備上的ML（TF Dev Summit '20）。 (Easy on-device ML from prototype to production (TF Dev Summit '20))

16:30

從原型到生產，輕鬆實現設備上的ML（TF Dev Summit '20）。 (Easy on-device ML from prototype to production (TF Dev Summit '20))

1

炒五常(Yakgochujang：약고추장)。 (Fried Gochujang (Yakgochujang: 약고추장))

06:29

炒五常(Yakgochujang：약고추장)。 (Fried Gochujang (Yakgochujang: 약고추장))

2

創建一個影像分類器（ML Zero to Hero，第4部分）。 (Erstellen eines Bildklassifizierers (ML Zero to Hero, Teil 4))

06:26

創建一個影像分類器（ML Zero to Hero，第4部分）。 (Erstellen eines Bildklassifizierers (ML Zero to Hero, Teil 4))

5

這個未知的人工智能會讓你大吃一驚！再見聊天室... (This Unknown AI Will Blow Your Mind! BYE CHATGPT…)

09:06

這個未知的人工智能會讓你大吃一驚！再見聊天室... (This Unknown AI Will Blow Your Mind! BYE CHATGPT…)

65

中文 B1 中級

卷積神經網絡介紹(ML Zero to Hero，第三部分) (Introducing convolutional neural networks (ML Zero to Hero, part 3))

05:33

卷積神經網絡介紹(ML Zero to Hero，第三部分) (Introducing convolutional neural networks (ML Zero to Hero, part 3))

1

構建影像分類器（ML Zero to Hero，第4部分）。 (Construye un clasificador de imagen (ML Zero to Hero, parte 4))

05:50

構建影像分類器（ML Zero to Hero，第4部分）。 (Construye un clasificador de imagen (ML Zero to Hero, parte 4))

2

03 - 氫氣和氧氣的測試 (03 - Tests for hydrogen and oxygen gas)

03:02

03 - 氫氣和氧氣的測試 (03 - Tests for hydrogen and oxygen gas)

24

機器學習介紹（ML從零到100，第一部分 (Introdução ao Machine Learning (ML de Zero a 100, parte 1))

06:51

機器學習介紹（ML從零到100，第一部分 (Introdução ao Machine Learning (ML de Zero a 100, parte 1))

3

遊戲開發者的機器學習(Google I/O'19) (Machine Learning for Game Developers (Google I/O'19))

32:20

遊戲開發者的機器學習(Google I/O'19) (Machine Learning for Game Developers (Google I/O'19))

2