2,626 個「 ml solutions 」的搜尋結果

依關聯性

VoiceTube 廣告

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

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

介绍 Kubeflow流水线（Intro to Kubeflow Pipelines）

04:21

介绍 Kubeflow流水线（Intro to Kubeflow Pipelines）

28

光流解決方案 - Computerphile (Optic Flow Solutions - Computerphile)

12:54

光流解決方案 - Computerphile (Optic Flow Solutions - Computerphile)

2

ML獎S01E04 (The ML Awards S01E01)

50:34

ML獎S01E04 (The ML Awards S01E01)

6

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

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

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

綜合議價後續工作第六部分 (Integrative Bargaining Follow Up Part 6)

11:08

綜合議價後續工作第六部分 (Integrative Bargaining Follow Up Part 6)

85

中文 A2 初級

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

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

How Do Employment Agencies Work?

02:51

How Do Employment Agencies Work?

2959

中文 B1 中級

3 Types of Hearing Loss - Applied Hearing Solutions

04:34

3 Types of Hearing Loss - Applied Hearing Solutions

15

用tf.data擴展Tensorflow數據處理（TF Dev Summit '20）。 (Scaling Tensorflow data processing with tf.data (TF Dev Summit '20))

12:44

用tf.data擴展Tensorflow數據處理（TF Dev Summit '20）。 (Scaling Tensorflow data processing with tf.data (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

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

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

字幕已審核

你必須知道，使經濟「更好」的解決方法 The Story of Solutions

09:07

你必須知道，使經濟「更好」的解決方法 The Story of Solutions

7299

中文 B1 中級

Physician Burnout and COVID-19 | Statistics & Solutions

08:17

Physician Burnout and COVID-19 | Statistics & Solutions

18

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

圖形表和實驗室範圍：VERUS® PRO (Pt. 9/10) | Snap-on Training Solutions® (Snap-on Training Solutions) (Graphing Meter & Lab Scope : VERUS® PRO (Pt. 9/10) | Snap-on Training Solutions®)

07:48

圖形表和實驗室範圍：VERUS® PRO (Pt. 9/10) | Snap-on Training Solutions® (Snap-on Training Solutions) (Graphing Meter & Lab Scope : VERUS® PRO (Pt. 9/10) | Snap-on Training Solutions®)

23

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 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

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

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

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 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

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

鹽溶液的pH值 (pH of salt solutions)

14:15

鹽溶液的pH值 (pH of salt solutions)

26

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

嫉妒的斯多葛解決方案 (Stoic Solutions For Jealousy)

06:00

嫉妒的斯多葛解決方案 (Stoic Solutions For Jealousy)

23

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

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

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

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