10,000 個「 cross platform ml framework 」的搜尋結果

依關聯性

VoiceTube 廣告

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

介绍 Kubeflow流水线（Intro to Kubeflow Pipelines）

04:21

介绍 Kubeflow流水线（Intro to Kubeflow Pipelines）

28

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

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

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

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

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

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

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

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

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

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

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

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

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

框架首席執行官最喜歡的 Linux 發行版 | 與 Nirav Patel 的問答 (Framework CEO's favorite Linux Distro | Q&A with Nirav Patel)

04:58

框架首席執行官最喜歡的 Linux 發行版 | 與 Nirav Patel 的問答 (Framework CEO's favorite Linux Distro | Q&A with Nirav Patel)

11

中文 B1 中級

宣佈TensorFlow 2.0 (Announcing TensorFlow 2.0)

04:10

宣佈TensorFlow 2.0 (Announcing TensorFlow 2.0)

3

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

"大流行期間要做的大膽事情"--約翰-奧利弗談超級碗 ("A Bold Thing To Do During A Pandemic" - John Oliver On The Super Bowl)

05:13

"大流行期間要做的大膽事情"--約翰-奧利弗談超級碗 ("A Bold Thing To Do During A Pandemic" - John Oliver On The Super Bowl)

13

中文 B1 中級

雲端AI平臺上的分佈式TensorFlow模型訓練（TF Dev Summit '20）。 (Distributed TensorFlow model training on Cloud AI Platform (TF Dev Summit '20))

14:21

雲端AI平臺上的分佈式TensorFlow模型訓練（TF Dev Summit '20）。 (Distributed TensorFlow model training on Cloud AI Platform (TF Dev Summit '20))

2

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

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

由TensorFlow提供支持：Airbnb使用機器學習幫助其房源照片分類 (Powered by TensorFlow: Airbnb uses machine learning to help categorize its listing photos)

02:38

由TensorFlow提供支持：Airbnb使用機器學習幫助其房源照片分類 (Powered by TensorFlow: Airbnb uses machine learning to help categorize its listing photos)

2

"最後的程序員"(黑客大流行) ("The Last Programmer" (hacking the pandemic))

07:27

"最後的程序員"(黑客大流行) ("The Last Programmer" (hacking the pandemic))

4

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

約翰-奧利弗HBO永遠也不會知道 "今夜最後一週 "的吉祥物花了多少錢。 (John Oliver: HBO Will Never Find Out How Much All The "Last Week Tonight" Mascots Cost)

07:35

約翰-奧利弗HBO永遠也不會知道 "今夜最後一週 "的吉祥物花了多少錢。 (John Oliver: HBO Will Never Find Out How Much All The "Last Week Tonight" Mascots Cost)

4

中文 B1 中級

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

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

現代iPhone應用開發。待辦事項應用（在FANG做的編碼教程）。 (Modern iPhone App Development: To-do list app (coding tutorial as done at FANG))

19:21

現代iPhone應用開發。待辦事項應用（在FANG做的編碼教程）。 (Modern iPhone App Development: To-do list app (coding tutorial as done at FANG))

2

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年要學的三大編程語言 (Top 3 Programming Languages to Learn in 2019)

04:04

2019年要學的三大編程語言 (Top 3 Programming Languages to Learn in 2019)

5

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

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

綁鞋歌｜CoComelon童謠和兒童歌曲。 (Tie Your Shoes Song | CoComelon Nursery Rhymes & Kids Songs)

03:36

綁鞋歌｜CoComelon童謠和兒童歌曲。 (Tie Your Shoes Song | CoComelon Nursery Rhymes & Kids Songs)

21

中文 B2 中高級

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

ML獎S01E04 (The ML Awards S01E01)

50:34

ML獎S01E04 (The ML Awards S01E01)

6

為什麼React Native是垃圾？ (Why React Native is garbage.)

10:01

為什麼React Native是垃圾？ (Why React Native is garbage.)

6

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

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

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

PAI：阿里巴巴的A.I.平臺(19年TF開發峰會) (PAI: Platform of A.I. in Alibaba (TF Dev Summit '19))

05:14

PAI：阿里巴巴的A.I.平臺(19年TF開發峰會) (PAI: Platform of A.I. in Alibaba (TF Dev Summit '19))

1

亞馬遜的雲服務遭遇故障 (Amazon's cloud service suffers outage)

00:51

亞馬遜的雲服務遭遇故障 (Amazon's cloud service suffers outage)

11

中文 B2 中高級

平臺預告片 (2020) (THE PLATFORM Trailer (2020))

01:52

平臺預告片 (2020) (THE PLATFORM Trailer (2020))

7

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

JISC電子框架 (JISC e-Framework)

05:16

JISC電子框架 (JISC e-Framework)

16