10,000 個「 machine learning complex data sets 」的搜尋結果

依關聯性

VoiceTube 廣告

講座1 | 自然語言處理與深度學習 (Lecture 1 | Natural Language Processing with Deep Learning)

71:41

講座1 | 自然語言處理與深度學習 (Lecture 1 | Natural Language Processing with Deep Learning)

183

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

一熱編碼的演示（TensorFlow一週小技巧）。 (A demo of One Hot Encoding (TensorFlow Tip of the Week))

04:33

一熱編碼的演示（TensorFlow一週小技巧）。 (A demo of One Hot Encoding (TensorFlow Tip of the Week))

6

下一個畢加索會是機器人嗎？| 呂祖學派 (Will The Next Picasso Be A Robot? | The School of Luzu)

10:17

下一個畢加索會是機器人嗎？| 呂祖學派 (Will The Next Picasso Be A Robot? | The School of Luzu)

2

| Doki Doki文學社的科學！......的科學! (| The SCIENCE!...of Doki Doki Literature Club!)

13:09

| Doki Doki文學社的科學！......的科學! (| The SCIENCE!...of Doki Doki Literature Club!)

140

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

自然語言處理和哈拉機器人 PART A (Natural Language Processing and Chat Bots PART A)

07:47

自然語言處理和哈拉機器人 PART A (Natural Language Processing and Chat Bots PART A)

76

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

訓練模型--用深度學習、Python和TensorFlow創建哈拉機器人 p.7 (Training a Model - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.7)

17:21

訓練模型--用深度學習、Python和TensorFlow創建哈拉機器人 p.7 (Training a Model - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.7)

2

TensorFlow開發峰會2018 - Livestream (TensorFlow Dev Summit 2018 - Livestream)

478:22

TensorFlow開發峰會2018 - Livestream (TensorFlow Dev Summit 2018 - Livestream)

5

與圖靈獎得主、深度學習先驅Geoffrey Hinton的爐邊談話（Google I/O'19）。 (A Fireside Chat with Turing Award Winner Geoffrey Hinton, Pioneer of Deep Learning (Google I/O'19))

39:02

與圖靈獎得主、深度學習先驅Geoffrey Hinton的爐邊談話（Google I/O'19）。 (A Fireside Chat with Turing Award Winner Geoffrey Hinton, Pioneer of Deep Learning (Google I/O'19))

3

可視化相關表--用Python和Pandas進行數據分析 p.4 (Visualizing Correlation Table - Data Analysis with Python and Pandas p.4)

20:39

可視化相關表--用Python和Pandas進行數據分析 p.4 (Visualizing Correlation Table - Data Analysis with Python and Pandas p.4)

4

(HD*CC*Subbed) X JAPAN - CRUCIFY MY LOVE / DAHLIA TOUR FINAL (高清*CC*subbed) ((HD*CC*Subbed) X JAPAN - CRUCIFY MY LOVE / DAHLIA TOUR FINAL)

04:30

(HDCCSubbed) X JAPAN - CRUCIFY MY LOVE / DAHLIA TOUR FINAL (高清CCsubbed) ((HDCCSubbed) X JAPAN - CRUCIFY MY LOVE / DAHLIA TOUR FINAL)

74

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OpenAI 推出會算數學又會講話的全新模型「GPT-4o」！實測結果真的這麼好用嗎？！ (NEW GPT-4o: My Mind is Blown.)

06:28

OpenAI 推出會算數學又會講話的全新模型「GPT-4o」！實測結果真的這麼好用嗎？！ (NEW GPT-4o: My Mind is Blown.)

22872

中文 B1 中級

數據科學的招聘[數據科學101]。 (Recruiting for data science [Data Science 101])

07:41

數據科學的招聘[數據科學101]。 (Recruiting for data science [Data Science 101])

55

介紹TensorFlow 2.0及其高級API（TF Dev Summit '19）。 (Introducing TensorFlow 2.0 and its high-level APIs (TF Dev Summit '19))

22:21

介紹TensorFlow 2.0及其高級API（TF Dev Summit '19）。 (Introducing TensorFlow 2.0 and its high-level APIs (TF Dev Summit '19))

203

圖像的深入研究(Deep Learning of Representations)

75:44

圖像的深入研究(Deep Learning of Representations)

215

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

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

BIG數據和Hadoop在房地產中的應用 (BIG Data and Hadoop Applications in Real Estate)

04:04

BIG數據和Hadoop在房地產中的應用 (BIG Data and Hadoop Applications in Real Estate)

98

與前Facebook數據科學家Joma合作的數據科學職業指南大全 (Complete Data Science Career Guide with Former Facebook Data Scientist Joma)

22:25

與前Facebook數據科學家Joma合作的數據科學職業指南大全 (Complete Data Science Career Guide with Former Facebook Data Scientist Joma)

4

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

狀態機遇上React Hooks - Zain Fathoni | JSConf.Asia 2019 (State Machines Meet React Hooks - Zain Fathoni | JSConf.Asia 2019)

33:41

狀態機遇上React Hooks - Zain Fathoni | JSConf.Asia 2019 (State Machines Meet React Hooks - Zain Fathoni | JSConf.Asia 2019)

4

2020年如何成為一名數據分析師 (How to Become a Data Analyst in 2020)

08:31

2020年如何成為一名數據分析師 (How to Become a Data Analyst in 2020)

10

Arun Subramaniyan討論概率建模(TensorFlow Meets) (Arun Subramaniyan discusses probabilistic modeling (TensorFlow Meets))

08:19

Arun Subramaniyan討論概率建模(TensorFlow Meets) (Arun Subramaniyan discusses probabilistic modeling (TensorFlow Meets))

2

機器學習如何幫助識別洛杉磯道路上的坑洞？ (How machine learning helps identify potholes on Los Angeles roads)

01:01

機器學習如何幫助識別洛杉磯道路上的坑洞？ (How machine learning helps identify potholes on Los Angeles roads)

109

中文 A2 初級

充分利用Colab (TF開發峰會'20) (Making the most of Colab (TF Dev Summit '20))

06:44

充分利用Colab (TF開發峰會'20) (Making the most of Colab (TF Dev Summit '20))

7

FLOW：法醫、技術和法律服務的未來法醫、技術和法律服務的未來 10：技術輔助學習 (FLOW: Forensics, technology and the future of legal services 10: Technology Assisted Learning)

02:36

FLOW：法醫、技術和法律服務的未來法醫、技術和法律服務的未來 10：技術輔助學習 (FLOW: Forensics, technology and the future of legal services 10: Technology Assisted Learning)

10

工業4.0 (Industry 4.0)

08:55

工業4.0 (Industry 4.0)

307

TensorFlow 2.0介紹。對初學者來說更容易，對專家來說更強大 (TF World '19) (Introduction to TensorFlow 2.0: Easier for beginners, and more powerful for experts (TF World '19))

40:56

TensorFlow 2.0介紹。對初學者來說更容易，對專家來說更強大 (TF World '19) (Introduction to TensorFlow 2.0: Easier for beginners, and more powerful for experts (TF World '19))

1

2020年如何成為一名數據架構師 (How to Become a Data Architect in 2020)

06:55

2020年如何成為一名數據架構師 (How to Become a Data Architect in 2020)

9

類別理論 1.1:動機與哲學 (Category Theory 1.1: Motivation and Philosophy)

46:46

類別理論 1.1:動機與哲學 (Category Theory 1.1: Motivation and Philosophy)

367

中文 B1 中級

使用循環神經網絡的一般序列學習。 (General Sequence Learning using Recurrent Neural Networks)

36:50

使用循環神經網絡的一般序列學習。 (General Sequence Learning using Recurrent Neural Networks)

217

介紹 - 用Python和Pytorch進行深度學習和神經網絡 p.1 (Introduction - Deep Learning and Neural Networks with Python and Pytorch p.1)

24:49

介紹 - 用Python和Pytorch進行深度學習和神經網絡 p.1 (Introduction - Deep Learning and Neural Networks with Python and Pytorch p.1)

9

TensorFlow Extended (TFX) & Hub (TensorFlow @ O Reilly AI Conference, San Francisco '18) (TensorFlow Extended (TFX) & Hub (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

41:41

TensorFlow Extended (TFX) & Hub (TensorFlow @ O Reilly AI Conference, San Francisco '18) (TensorFlow Extended (TFX) & Hub (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

2

Spell（用於雲端機器學習）介紹。 (Introduction to Spell (for Machine Learning in the Cloud))

26:08

Spell（用於雲端機器學習）介紹。 (Introduction to Spell (for Machine Learning in the Cloud))

3

用深度學習解決更復雜的數學問題--非常規神經網絡第11頁。 (More Complex Math with Deep Learning - Unconventional Neural Networks p.11)

24:43

用深度學習解決更復雜的數學問題--非常規神經網絡第11頁。 (More Complex Math with Deep Learning - Unconventional Neural Networks p.11)

3

回放2｜影像分類 (Lecture 2 | Image Classification)

59:32

回放2｜影像分類 (Lecture 2 | Image Classification)

18

採訪我的兄弟，他以6000萬美元賣掉了他的創業公司｜機器學習工程師。 (Interview With My Brother Who Sold His Startup For $60 Million | Machine Learning Engineer)

29:20

採訪我的兄弟，他以6000萬美元賣掉了他的創業公司｜機器學習工程師。 (Interview With My Brother Who Sold His Startup For $60 Million | Machine Learning Engineer)

4

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人工智慧越發先進、各種聊天機器人爭相出現，我們該如何預防 AI 亂象呢？（How to stop AI going rogue）

05:24

人工智慧越發先進、各種聊天機器人爭相出現，我們該如何預防 AI 亂象呢？（How to stop AI going rogue）

28757

中文 B1 中級

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

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

TensorFlow概率。充滿信心地學習 (TF Dev Summit '19) (TensorFlow Probability: Learning with confidence (TF Dev Summit '19))

13:57

TensorFlow概率。充滿信心地學習 (TF Dev Summit '19) (TensorFlow Probability: Learning with confidence (TF Dev Summit '19))

2

雷諾鑫｜火花峰會2017 (Reynold Xin | Spark Summit 2017)

15:03

雷諾鑫｜火花峰會2017 (Reynold Xin | Spark Summit 2017)

115

大型語言模型介紹 (Introduction to Large Language Models)

16:11

大型語言模型介紹 (Introduction to Large Language Models)

16

中文 B1 中級

在谷歌、Facebook、微軟等公司找工作要學的5大編程語言。 (Top 5 Programming Languages to Learn to Get a Job at Google, Facebook, Microsoft, etc.)

07:41

在谷歌、Facebook、微軟等公司找工作要學的5大編程語言。 (Top 5 Programming Languages to Learn to Get a Job at Google, Facebook, Microsoft, etc.)

7