10,000 個「 machine learning ml 」的搜尋結果

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VoiceTube 廣告

AI實驗。通過遊戲讓人工智能變得可及(TF Dev Summit '19) (AI Experiments: Making AI Accessible through Play (TF Dev Summit ‘19))

05:53

AI實驗。通過遊戲讓人工智能變得可及(TF Dev Summit '19) (AI Experiments: Making AI Accessible through Play (TF Dev Summit ‘19))

2

無監督學習 - 喬治亞理工學院 - 機器學習 (Unsupervised Learning - Georgia Tech - Machine Learning)

04:24

無監督學習 - 喬治亞理工學院 - 機器學習 (Unsupervised Learning - Georgia Tech - Machine Learning)

76

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

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

TensorFlow：開源的機器學習 (TensorFlow: Open source machine learning)

02:18

TensorFlow：開源的機器學習 (TensorFlow: Open source machine learning)

98

為你的JavaScript應用提供機器學習魔力（Google I/O'19) (Machine Learning Magic for Your JavaScript Application (Google I/O'19))

39:02

為你的JavaScript應用提供機器學習魔力（Google I/O'19) (Machine Learning Magic for Your JavaScript Application (Google I/O'19))

1

谷歌I/O 2018主題演講10分鐘 (Google I/O 2018 Keynote in 10 minutes)

10:01

谷歌I/O 2018主題演講10分鐘 (Google I/O 2018 Keynote in 10 minutes)

41

Runway 的 Gen 3 在人工智能視頻領域掀起了一場風暴！ (Gen 3 by Runway takes the AI Video space by storm!)

19:14

Runway 的 Gen 3 在人工智能視頻領域掀起了一場風暴！ (Gen 3 by Runway takes the AI Video space by storm!)

4

中文 B1 中級

TensorFlow高級API。第二部分--深入研究數據和特性 (TensorFlow high-level APIs: Part 2 - going deep on data and features)

05:09

TensorFlow高級API。第二部分--深入研究數據和特性 (TensorFlow high-level APIs: Part 2 - going deep on data and features)

2

機器學習。關於班級 (Machine Learning: About the class)

01:59

機器學習。關於班級 (Machine Learning: About the class)

111

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

什麼是人工智能、機器學習和深度學習？ (What Is Artificial Intelligence, Machine Learning And Deep Learning?)

10:13

什麼是人工智能、機器學習和深度學習？ (What Is Artificial Intelligence, Machine Learning And Deep Learning?)

187

有監督的機器學習。Crash Course Statistics #36 (Supervised Machine Learning: Crash Course Statistics #36)

11:51

有監督的機器學習。Crash Course Statistics #36 (Supervised Machine Learning: Crash Course Statistics #36)

2

深度學習解決挑戰性問題（Google I/O'19）。 (Deep Learning to Solve Challenging Problems (Google I/O'19))

40:59

深度學習解決挑戰性問題（Google I/O'19）。 (Deep Learning to Solve Challenging Problems (Google I/O'19))

4

你好世界--機器學習食譜#1 (Hello World - Machine Learning Recipes #1)

06:53

你好世界--機器學習食譜#1 (Hello World - Machine Learning Recipes #1)

66

Swift for TensorFlow (Google I/O'19) (Swift for TensorFlow (Google I/O'19))

28:25

Swift for TensorFlow (Google I/O'19) (Swift for TensorFlow (Google I/O'19))

3

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

機器學習 - CS50播客，Ep.6。 (Machine Learning - CS50 Podcast, Ep. 6)

28:25

機器學習 - CS50播客，Ep.6。 (Machine Learning - CS50 Podcast, Ep. 6)

4

TensorFlow開發峰會2019主題演講 (TensorFlow Dev Summit 2019 Keynote)

31:43

TensorFlow開發峰會2019主題演講 (TensorFlow Dev Summit 2019 Keynote)

3

流感疫苗和生物學中的數據科學 (Influenza Vaccines and Data Science in Biology)

08:43

流感疫苗和生物學中的數據科學 (Influenza Vaccines and Data Science in Biology)

3

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

機器學習的7個步驟 (The 7 Steps of Machine Learning)

10:36

機器學習的7個步驟 (The 7 Steps of Machine Learning)

133

直播#184：使用ml5.js的uNet和BodyPix。 (Live Stream #184: uNet and BodyPix with ml5.js)

147:07

直播#184：使用ml5.js的uNet和BodyPix。 (Live Stream #184: uNet and BodyPix with ml5.js)

小組討論。機器學習的應用 (Panel Discussion: Applications of Machine Learning)

43:18

小組討論。機器學習的應用 (Panel Discussion: Applications of Machine Learning)

254

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

使用Scikit-learn進行機器學習--使用Python和Pandas進行數據分析第6頁。 (Machine Learning with Scikit-learn - Data Analysis with Python and Pandas p.6)

27:03

使用Scikit-learn進行機器學習--使用Python和Pandas進行數據分析第6頁。 (Machine Learning with Scikit-learn - Data Analysis with Python and Pandas p.6)

2

編寫公平與道德的人工智能與機器學習的遊戲手冊（Google I/O'19）。 (Writing the Playbook for Fair & Ethical Artificial Intelligence & Machine Learning (Google I/O'19))

27:05

編寫公平與道德的人工智能與機器學習的遊戲手冊（Google I/O'19）。 (Writing the Playbook for Fair & Ethical Artificial Intelligence & Machine Learning (Google I/O'19))

1

TensorFlow Extended（TFX）（2018年TensorFlow發展峰會）。 (TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018))

26:01

TensorFlow Extended（TFX）（2018年TensorFlow發展峰會）。 (TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018))

1

2016年CS50--第七週--機器學習 (CS50 2016 - Week 7 - Machine Learning)

82:56

2016年CS50--第七週--機器學習 (CS50 2016 - Week 7 - Machine Learning)

206

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

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

字幕已審核

機器學習與人類偏見 (Machine Learning and Human Bias)

02:33

機器學習與人類偏見 (Machine Learning and Human Bias)

12153

中文 B1 中級

雲計算GPU教程（對比與使用 (Cloud GPUs Tutorial (comparing & using))

48:51

雲計算GPU教程（對比與使用 (Cloud GPUs Tutorial (comparing & using))

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

機器學習與藝術--谷歌I/O 2016 (Machine learning & art - Google I/O 2016)

42:36

機器學習與藝術--谷歌I/O 2016 (Machine learning & art - Google I/O 2016)

141

回答你的TF Lite問題以及更多(#AskTensorFlow) (Answering your TF Lite questions and more! (#AskTensorFlow))

15:40

回答你的TF Lite問題以及更多(#AskTensorFlow) (Answering your TF Lite questions and more! (#AskTensorFlow))

2

未來十年的十大預測 (Top 10 Predictions for the Next Decade)

14:38

未來十年的十大預測 (Top 10 Predictions for the Next Decade)

8

中文 B1 中級

ML獎S01E04 (The ML Awards S01E01)

50:34

ML獎S01E04 (The ML Awards S01E01)

6

TFX管道是如何工作的？(TensorFlow Extended) (How do TFX pipelines work? (TensorFlow Extended))

05:00

TFX管道是如何工作的？(TensorFlow Extended) (How do TFX pipelines work? (TensorFlow Extended))

3

面向移動開發者的TensorFlow Lite (Google I/O '18) (TensorFlow Lite for mobile developers (Google I/O '18))

37:07

面向移動開發者的TensorFlow Lite (Google I/O '18) (TensorFlow Lite for mobile developers (Google I/O '18))

3

聯邦學習。分散數據的機器學習(Google I/O'19) (Federated Learning: Machine Learning on Decentralized Data (Google I/O'19))

41:11

聯邦學習。分散數據的機器學習(Google I/O'19) (Federated Learning: Machine Learning on Decentralized Data (Google I/O'19))

4

宣佈TensorFlow 2.0 (Announcing TensorFlow 2.0)

04:10

宣佈TensorFlow 2.0 (Announcing TensorFlow 2.0)

3

什麼是人工智能（或機器學習）？ (What is Artificial Intelligence (or Machine Learning)?)

06:15

什麼是人工智能（或機器學習）？ (What is Artificial Intelligence (or Machine Learning)?)

342

中文 B1 中級

無監督的機器學習。Crash Course Statistics #37 (Unsupervised Machine Learning: Crash Course Statistics #37)

10:56

無監督的機器學習。Crash Course Statistics #37 (Unsupervised Machine Learning: Crash Course Statistics #37)

3

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