10,000 個「 machine learning workflow 」的搜尋結果

依關聯性

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機器學習如何讓我們的決策變得更聰明？ (How Machine Learning Makes Our Decisions Smarter)

06:46

機器學習如何讓我們的決策變得更聰明？ (How Machine Learning Makes Our Decisions Smarter)

7

機器學習如何幫助科學家追蹤小行星？ (How machine learning helps scientists track asteroids)

01:22

機器學習如何幫助科學家追蹤小行星？ (How machine learning helps scientists track asteroids)

9

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

機器學習API實例（Google Cloud Next'17 (Machine Learning APIs by Example (Google Cloud Next '17))

38:36

機器學習API實例（Google Cloud Next'17 (Machine Learning APIs by Example (Google Cloud Next '17))

154

機器學習。谷歌的願景--谷歌I/O 2016 (Machine Learning: Google's Vision - Google I/O 2016)

44:45

機器學習。谷歌的願景--谷歌I/O 2016 (Machine Learning: Google's Vision - Google I/O 2016)

407

編碼挑戰賽#151.Ukulele Tuner with Machine Learning Pitch Detection Model:使用機器學習音高檢測模型的尤克里裡調音器 (Coding Challenge #151: Ukulele Tuner with Machine Learning Pitch Detection Model)

35:55

編碼挑戰賽#151.Ukulele Tuner with Machine Learning Pitch Detection Model:使用機器學習音高檢測模型的尤克里裡調音器 (Coding Challenge #151: Ukulele Tuner with Machine Learning Pitch Detection Model)

5

為機器學習準備你的數據集（TensorFlow編碼）。 (Prepare your dataset for machine learning (Coding TensorFlow))

07:37

為機器學習準備你的數據集（TensorFlow編碼）。 (Prepare your dataset for machine learning (Coding TensorFlow))

2

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

可視化決策樹--機器學習食譜#2。 (Visualizing a Decision Tree - Machine Learning Recipes #2)

06:42

可視化決策樹--機器學習食譜#2。 (Visualizing a Decision Tree - Machine Learning Recipes #2)

80

機器學習。讓一個混亂的世界變得有意義 (Machine Learning: Making Sense of a Messy World)

03:48

機器學習。讓一個混亂的世界變得有意義 (Machine Learning: Making Sense of a Messy World)

345

中文 B1 中級

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

TensorFlow Extended (TFX)概述和預訓練工作流程(TF Dev Summit '19) (TensorFlow Extended (TFX) Overview and Pre-training Workflow (TF Dev Summit '19))

31:35

TensorFlow Extended (TFX)概述和預訓練工作流程(TF Dev Summit '19) (TensorFlow Extended (TFX) Overview and Pre-training Workflow (TF Dev Summit '19))

1

機器學習從零到英雄（Google I/O'19) (Machine Learning Zero to Hero (Google I/O'19))

35:33

機器學習從零到英雄（Google I/O'19) (Machine Learning Zero to Hero (Google I/O'19))

7

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

#ProjectCleanMachine | Adobe MAX Sneaks 2024 | Adobe (#ProjectCleanMachine | Adobe MAX Sneaks 2024 | Adobe)

05:01

#ProjectCleanMachine | Adobe MAX Sneaks 2024 | Adobe (#ProjectCleanMachine | Adobe MAX Sneaks 2024 | Adobe)

1

中文 B1 中級

什麼是機器學習，它是如何工作的？ (What is machine learning, and how does it work?)

10:21

什麼是機器學習，它是如何工作的？ (What is machine learning, and how does it work?)

60

讓我們來寫一個管道--機器學習食譜#4。 (Let’s Write a Pipeline - Machine Learning Recipes #4)

07:54

讓我們來寫一個管道--機器學習食譜#4。 (Let’s Write a Pipeline - Machine Learning Recipes #4)

63

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

MLIR：用編譯器加速TF的發展（TF開發峰會'20) (MLIR: Accelerating TF with compilers (TF Dev Summit '20))

10:19

MLIR：用編譯器加速TF的發展（TF開發峰會'20) (MLIR: Accelerating TF with compilers (TF Dev Summit '20))

1

機器學習開發者--TensorFlow Dev Summit '19來了! (Machine learning developers - TensorFlow Dev Summit '19 is here!)

00:59

機器學習開發者--TensorFlow Dev Summit '19來了! (Machine learning developers - TensorFlow Dev Summit '19 is here!)

11

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

機器學習和TensorFlow的進展（Google I/O '18）。 (Advances in machine learning and TensorFlow (Google I/O '18))

42:15

機器學習和TensorFlow的進展（Google I/O '18）。 (Advances in machine learning and TensorFlow (Google I/O '18))

2

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

編寫我們的第一個分類器--機器學習食譜#5。 (Writing Our First Classifier - Machine Learning Recipes #5)

08:44

編寫我們的第一個分類器--機器學習食譜#5。 (Writing Our First Classifier - Machine Learning Recipes #5)

93

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

Dyad X Machina：將情感帶入機器學習（TensorFlow Meets）。 (Dyad X Machina: bringing emotion into machine learning (TensorFlow Meets))

10:48

Dyad X Machina：將情感帶入機器學習（TensorFlow Meets）。 (Dyad X Machina: bringing emotion into machine learning (TensorFlow Meets))

5

利用英特爾軟件工具加速機器學習｜英特爾軟件 (Accelerate Machine Learning with Intel Software Tools | Intel Software)

02:26

利用英特爾軟件工具加速機器學習｜英特爾軟件 (Accelerate Machine Learning with Intel Software Tools | Intel Software)

38

TensorFlow Hub:可重用的機器學習（TF Dev Summit '19) (TensorFlow Hub: Reusable Machine Learning (TF Dev Summit '19))

07:36

TensorFlow Hub:可重用的機器學習（TF Dev Summit '19) (TensorFlow Hub: Reusable Machine Learning (TF Dev Summit '19))

2

Scott Hanselman的最佳演示!物聯網、Azure、機器學習等。 (Scott Hanselman’s best demo! IoT, Azure, Machine Learning & more)

14:31

Scott Hanselman的最佳演示!物聯網、Azure、機器學習等。 (Scott Hanselman’s best demo! IoT, Azure, Machine Learning & more)

60

条形码如何创建现代供应链（How the Bar Code Created the Modern Supply Chain）

03:59

条形码如何创建现代供应链（How the Bar Code Created the Modern Supply Chain）

11

ml5.js：保存神經網絡訓練數據 (ml5.js: Save Neural Network Training Data)

12:46

ml5.js：保存神經網絡訓練數據 (ml5.js: Save Neural Network Training Data)

1

你唯一需要的東西是生產力。 (the only thing you need to be productive.)

05:01

你唯一需要的東西是生產力。 (the only thing you need to be productive.)

362

中文 B1 中級

Runway的介紹。創客的機器學習（第二部分 (Introduction to Runway: Machine Learning for Creators (Part 2))

23:59

Runway的介紹。創客的機器學習（第二部分 (Introduction to Runway: Machine Learning for Creators (Part 2))

1

什麼才是一個好的特徵？- 機器學習食譜#3 (What Makes a Good Feature? - Machine Learning Recipes #3)

05:41

什麼才是一個好的特徵？- 機器學習食譜#3 (What Makes a Good Feature? - Machine Learning Recipes #3)

53

Swift在機器學習中的威力（TensorFlow的遇見 (The Power of Swift for Machine Learning (TensorFlow Meets))

06:31

Swift在機器學習中的威力（TensorFlow的遇見 (The Power of Swift for Machine Learning (TensorFlow Meets))

3

機器學習如何推動深層欺詐世界的發展？ (How Machine Learning Drives the Deceptive World of Deepfakes)

07:32

機器學習如何推動深層欺詐世界的發展？ (How Machine Learning Drives the Deceptive World of Deepfakes)

6

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

機器學習不是未來--2016年穀歌I/O大會。 (Machine learning is not the future - Google I/O 2016)

39:00

機器學習不是未來--2016年穀歌I/O大會。 (Machine learning is not the future - Google I/O 2016)

115

介紹Emil：為機器學習添彩的創意編碼員。 (Introducing Emil: the creative coder adding color to machine learning)

00:54

介紹Emil：為機器學習添彩的創意編碼員。 (Introducing Emil: the creative coder adding color to machine learning)

9

TFX：TensorFlow的端到端機器學習平臺(TensorFlow Meets) (TFX: an end-to-end machine learning platform for TensorFlow (TensorFlow Meets))

06:24

TFX：TensorFlow的端到端機器學習平臺(TensorFlow Meets) (TFX: an end-to-end machine learning platform for TensorFlow (TensorFlow Meets))

5

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

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

與Josh Gordon一起喝咖啡的機器學習--與Googler一起喝咖啡。 (Machine Learning over Coffee with Josh Gordon - Coffee with a Googler)

06:37

與Josh Gordon一起喝咖啡的機器學習--與Googler一起喝咖啡。 (Machine Learning over Coffee with Josh Gordon - Coffee with a Googler)

318

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

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

字幕已審核

BBC學英文10分鐘系列：27 個有關「旅行」的單字和表達！ (The Vocabulary Show: Travel ✈️✈️✈️ Learn 27 words and expressions about travel in 12 minutes!)

12:00

BBC學英文10分鐘系列：27 個有關「旅行」的單字和表達！ (The Vocabulary Show: Travel ✈️✈️✈️ Learn 27 words and expressions about travel in 12 minutes!)

42985

中文 B1 中級