7,022 個「 developing ML models 」的搜尋結果

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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

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

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

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

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

介绍 Kubeflow流水线（Intro to Kubeflow Pipelines）

04:21

介绍 Kubeflow流水线（Intro to Kubeflow Pipelines）

28

TensorFlow World 2019主題演講 (TensorFlow World 2019 Keynote)

76:41

TensorFlow World 2019主題演講 (TensorFlow World 2019 Keynote)

3

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

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

TensorFlow.js 1.0 (TF Dev Summit '19) (TensorFlow.js 1.0 (TF Dev Summit '19))

17:51

TensorFlow.js 1.0 (TF Dev Summit '19) (TensorFlow.js 1.0 (TF Dev Summit '19))

1

機器學習的公平性。經驗教訓(Google I/O'19) (Machine Learning Fairness: Lessons Learned (Google I/O'19))

36:23

機器學習的公平性。經驗教訓(Google I/O'19) (Machine Learning Fairness: Lessons Learned (Google I/O'19))

10

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

模型理解和業務現實（TensorFlow擴展 (Model Understanding and Business Reality (TensorFlow Extended))

08:53

模型理解和業務現實（TensorFlow擴展 (Model Understanding and Business Reality (TensorFlow Extended))

2

TF Lite Lens (TF Dev Summit '20) (TF Lite Lens (TF Dev Summit '20))

07:44

TF Lite Lens (TF Dev Summit '20) (TF Lite Lens (TF Dev Summit '20))

2

第2天主題演講（TF World '19) (Day 2 Keynote (TF World '19))

89:35

第2天主題演講（TF World '19) (Day 2 Keynote (TF World '19))

3

2020年最佳數據科學創業公司10家 (10 Best Data Science Startups to Work for in 2020)

08:56

2020年最佳數據科學創業公司10家 (10 Best Data Science Startups to Work for in 2020)

10

TensorFlow開發峰會2020主題演講 (TensorFlow Dev Summit 2020 Keynote)

31:12

TensorFlow開發峰會2020主題演講 (TensorFlow Dev Summit 2020 Keynote)

1

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

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

宣佈TensorFlow 2.0 (Announcing TensorFlow 2.0)

04:10

宣佈TensorFlow 2.0 (Announcing TensorFlow 2.0)

3

採訪我的兄弟，他以6000萬美元賣掉了他的創業公司｜機器學習工程師。 (Interview With My Brother Who Sold His Startup For $60 Million | Machine Learning Engineer)

29:20

採訪我的兄弟，他以6000萬美元賣掉了他的創業公司｜機器學習工程師。 (Interview With My Brother Who Sold His Startup For $60 Million | Machine Learning Engineer)

4

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

與TFLite代表一起加速模型（TF開發峰會'20）。 (Accelerate models with TFLite Delegates (TF Dev Summit '20))

15:20

與TFLite代表一起加速模型（TF開發峰會'20）。 (Accelerate models with TFLite Delegates (TF Dev Summit '20))

4

揭穿關於AI的10個常見誤區 (Debunking 10 Common Misconceptions about AI)

09:46

揭穿關於AI的10個常見誤區 (Debunking 10 Common Misconceptions about AI)

5

移動和物聯網設備的AI。TensorFlow Lite (Google I/O'19) (AI for Mobile and IoT Devices: TensorFlow Lite (Google I/O'19))

32:19

移動和物聯網設備的AI。TensorFlow Lite (Google I/O'19) (AI for Mobile and IoT Devices: TensorFlow Lite (Google I/O'19))

1

TensorFlow Hub。讓模型發現變得簡單（TF Dev Summit '20) (TensorFlow Hub: Making model discovery easy (TF Dev Summit '20))

09:03

TensorFlow Hub。讓模型發現變得簡單（TF Dev Summit '20) (TensorFlow Hub: Making model discovery easy (TF Dev Summit '20))

1

為什麼我需要元數據？(TensorFlow Extended) (Why do I need metadata? (TensorFlow Extended))

05:32

為什麼我需要元數據？(TensorFlow Extended) (Why do I need metadata? (TensorFlow Extended))

1

用TensorFlow負責任的AI（TF Dev Summit '20）。 (Responsible AI with TensorFlow (TF Dev Summit '20))

21:52

用TensorFlow負責任的AI（TF Dev Summit '20）。 (Responsible AI with TensorFlow (TF Dev Summit '20))

2

機器學習在你的設備上。選項（Google I/O'19 (Machine Learning on Your Device: The Options (Google I/O'19))

38:32

機器學習在你的設備上。選項（Google I/O'19 (Machine Learning on Your Device: The Options (Google I/O'19))

4

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

ML獎S01E04 (The ML Awards S01E01)

50:34

ML獎S01E04 (The ML Awards S01E01)

6

TensorFlow內部：TensorFlow Lite (Inside TensorFlow: TensorFlow Lite)

37:31

TensorFlow內部：TensorFlow Lite (Inside TensorFlow: TensorFlow Lite)

2

AI新聞｜2018年1月｜英特爾軟件 (AI News | January 2018 | Intel Software)

01:47

AI新聞｜2018年1月｜英特爾軟件 (AI News | January 2018 | Intel Software)

54

TensorFlow.js將機器學習帶入網絡及其他領域，由Nick Kreeger和Nikhil Thorat撰寫。 (TensorFlow.js Bringing Machine Learning to the Web and Beyond by Nick Kreeger & Nikhil Thorat)

20:21

TensorFlow.js將機器學習帶入網絡及其他領域，由Nick Kreeger和Nikhil Thorat撰寫。 (TensorFlow.js Bringing Machine Learning to the Web and Beyond by Nick Kreeger & Nikhil Thorat)

3

TensorFlow World 2019 | 第2天生活流 PM (TensorFlow World 2019 | Day 2 Livestream PM)

260:18

TensorFlow World 2019 | 第2天生活流 PM (TensorFlow World 2019 | Day 2 Livestream PM)

3

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

大型語言模型介紹 (Introduction to Large Language Models)

16:11

大型語言模型介紹 (Introduction to Large Language Models)

16

中文 B1 中級

TensorFlow for JavaScript (TensorFlow @ O'Reilly AI Conference, San Francisco '18) (TensorFlow for JavaScript (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

33:02

TensorFlow for JavaScript (TensorFlow @ O'Reilly AI Conference, San Francisco '18) (TensorFlow for JavaScript (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

2

如何過渡到數據科學。從經濟學到數據科學 (How to Transition Into Data Science: From Economics to Data Science)

09:54

如何過渡到數據科學。從經濟學到數據科學 (How to Transition Into Data Science: From Economics to Data Science)

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

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

TensorFlow的公平性指標（TF Dev Summit '20) (Fairness Indicators for TensorFlow (TF Dev Summit '20))

06:17

TensorFlow的公平性指標（TF Dev Summit '20) (Fairness Indicators for TensorFlow (TF Dev Summit '20))

4

分佈式處理和組件(TensorFlow Extended) (Distributed Processing and Components (TensorFlow Extended))

11:48

分佈式處理和組件(TensorFlow Extended) (Distributed Processing and Components (TensorFlow Extended))

6

使用TF模型優化工具包優化您的模型（TF Dev Summit '20）。 (Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20))

17:09

使用TF模型優化工具包優化您的模型（TF Dev Summit '20）。 (Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20))

1