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

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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

因果推論大數據（Frontiers in Machine Learning: Big Ideas in Causality and Machine Learning）

95:59

因果推論大數據（Frontiers in Machine Learning: Big Ideas in Causality and Machine Learning）

16

揭幕式--IBM機器學習發佈會--#IBMML--#theCUBE。 (Kickoff - IBM Machine Learning Launch - #IBMML - #theCUBE)

12:35

揭幕式--IBM機器學習發佈會--#IBMML--#theCUBE。 (Kickoff - IBM Machine Learning Launch - #IBMML - #theCUBE)

58

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

每个人机器学习（Machine Learning for Everybody – Full Course）

233:53

每个人机器学习（Machine Learning for Everybody – Full Course）

12

什麼是機器學習？ (What is Machine Learning?)

05:23

什麼是機器學習？ (What is Machine Learning?)

168

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

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

機器學習介紹 (Introduction to Machine Learning)

02:54

機器學習介紹 (Introduction to Machine Learning)

95

主動（機器）學習 - Computerphile (Active (Machine) Learning - Computerphile)

06:11

主動（機器）學習 - Computerphile (Active (Machine) Learning - Computerphile)

10

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

使用TensorFlow進行廣度和深度學習 - 機器學習 (Wide & Deep Learning with TensorFlow - Machine Learning)

03:25

使用TensorFlow進行廣度和深度學習 - 機器學習 (Wide & Deep Learning with TensorFlow - Machine Learning)

145

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

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

使用機器學習改善UI/UX--Milecia McGregor | JSConf Hawaii 2020 (Using Machine Learning to Improve UI/UX - Milecia McGregor | JSConf Hawaii 2020)

21:59

使用機器學習改善UI/UX--Milecia McGregor | JSConf Hawaii 2020 (Using Machine Learning to Improve UI/UX - Milecia McGregor | JSConf Hawaii 2020)

6

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

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

大規模機器學習 (Large Scale Machine Learning)

36:10

大規模機器學習 (Large Scale Machine Learning)

209

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

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

設計、機器學習和創造力(Google I/O '18) (Design, machine learning, and creativity (Google I/O '18))

35:42

設計、機器學習和創造力(Google I/O '18) (Design, machine learning, and creativity (Google I/O '18))

401

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

前端開發的機器學習，查理-傑拉德｜JSConf.Asia 2019年。 (Machine Learning for Front-End Developers by Charlie Gerard | JSConf.Asia 2019)

34:05

前端開發的機器學習，查理-傑拉德｜JSConf.Asia 2019年。 (Machine Learning for Front-End Developers by Charlie Gerard | JSConf.Asia 2019)

3

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

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

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

Runway的介紹。創客的機器學習（第一部分 (Introduction to Runway: Machine Learning for Creators (Part 1))

17:40

Runway的介紹。創客的機器學習（第一部分 (Introduction to Runway: Machine Learning for Creators (Part 1))

2

可教機2.0。讓每個人都能更輕鬆地使用人工智能 (Teachable Machine 2.0: Making AI easier for everyone)

02:09

可教機2.0。讓每個人都能更輕鬆地使用人工智能 (Teachable Machine 2.0: Making AI easier for everyone)

5

由TensorFlow提供支持：利用機器學習幫助古籍整理者轉錄中世紀文本。 (Powered by TensorFlow: helping paleographers transcribe medieval text using machine learning)

02:59

由TensorFlow提供支持：利用機器學習幫助古籍整理者轉錄中世紀文本。 (Powered by TensorFlow: helping paleographers transcribe medieval text using machine learning)

1

由TensorFlow提供技術支持：利用機器學習幫助醫生檢測呼吸系統疾病。 (Powered by TensorFlow: Helping doctors detect respiratory diseases using machine learning)

03:12

由TensorFlow提供技術支持：利用機器學習幫助醫生檢測呼吸系統疾病。 (Powered by TensorFlow: Helping doctors detect respiratory diseases using machine learning)

7

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

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

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。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

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

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

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

Jennifer Listgarten:CRISPR生物信息學--用於指南設計的機器學習預測模型 (Jennifer Listgarten: CRISPR Bioinformatics - Machine learning predictive models for guide design)

86:38

Jennifer Listgarten:CRISPR生物信息學--用於指南設計的機器學習預測模型 (Jennifer Listgarten: CRISPR Bioinformatics - Machine learning predictive models for guide design)

11

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

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

神經結構化學習--第二部分：用自然圖訓練 (Neural Structured Learning - Part 2: Training with natural graphs)

05:12

神經結構化學習--第二部分：用自然圖訓練 (Neural Structured Learning - Part 2: Training with natural graphs)

2

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

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