10,000 個「 Machine Learning Framework 」的搜尋結果

依關聯性

VoiceTube 廣告

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

Swift for TensorFlow：下一代機器學習框架（TF Dev Summit '19）。 (Swift for TensorFlow: The Next-Generation Machine Learning Framework (TF Dev Summit '19))

31:22

Swift for TensorFlow：下一代機器學習框架（TF Dev Summit '19）。 (Swift for TensorFlow: The Next-Generation Machine Learning Framework (TF Dev Summit '19))

4

How technology is changing language learning: the PACE framework

12:49

How technology is changing language learning: the PACE framework

33

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

神經結構化學習--第1部分。框架概述 (Neural Structured Learning - Part 1: Framework overview)

05:13

神經結構化學習--第1部分。框架概述 (Neural Structured Learning - Part 1: Framework overview)

3

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

Django Rest框架與React教程。學習管理系統(Blackboard / Moodle Clone) (Django Rest Framework & React Tutorial: Learning Management System (Blackboard / Moodle Clone))

197:08

Django Rest框架與React教程。學習管理系統(Blackboard / Moodle Clone) (Django Rest Framework & React Tutorial: Learning Management System (Blackboard / Moodle Clone))

1

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

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

機器學習介紹 (Introduction to Machine Learning)

02:54

機器學習介紹 (Introduction to Machine Learning)

95

機器學習如何被用來幫助拯救世界上的蜜蜂？ (How machine learning is being used to help save the world’s bees)

01:27

機器學習如何被用來幫助拯救世界上的蜜蜂？ (How machine learning is being used to help save the world’s bees)

102

中文 B1 中級

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

用TENSORFLOW TUTORIAL進行深度學習，20分鐘內介紹TensorFlow文法。 (DEEP LEARNING WITH TENSORFLOW TUTORIAL | Introduction to TensorFlow Syntax in 20 Minutes)

21:17

用TENSORFLOW TUTORIAL進行深度學習，20分鐘內介紹TensorFlow文法。 (DEEP LEARNING WITH TENSORFLOW TUTORIAL | Introduction to TensorFlow Syntax in 20 Minutes)

8

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

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

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

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

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

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

神經結構化學習--第四部分：影像分類的對抗性學習 (Neural Structured Learning - Part 4: Adversarial learning for image classification)

08:06

神經結構化學習--第四部分：影像分類的對抗性學習 (Neural Structured Learning - Part 4: Adversarial learning for image classification)

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

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

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

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

IEI深度學習推理加速卡 (IEI Deep Learning Inference Acceleration Card )

13:27

IEI深度學習推理加速卡 (IEI Deep Learning Inference Acceleration Card )

44

編程入門--什麼是編碼框架？ (Programming Intro - What are Coding Frameworks?)

29:46

編程入門--什麼是編碼框架？ (Programming Intro - What are Coding Frameworks?)

7

TensorFlow中的神經結構化學習(TF World '19) (Neural structured learning in TensorFlow (TF World '19))

42:30

TensorFlow中的神經結構化學習(TF World '19) (Neural structured learning in TensorFlow (TF World '19))

1

Tania的故事。莫爾斯碼遇上機器學習 (Tania’s Story: Morse code meets machine learning)

02:23

Tania的故事。莫爾斯碼遇上機器學習 (Tania’s Story: Morse code meets machine learning)

55

中文 A2 初級

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

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

JISC電子框架 (JISC e-Framework)

05:16

JISC電子框架 (JISC e-Framework)

16