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

依關聯性

VoiceTube 廣告

使用TensorFlow數據集(TensorFlow Meet) (Working with TensorFlow Datasets (TensorFlow Meets))

08:11

使用TensorFlow數據集(TensorFlow Meet) (Working with TensorFlow Datasets (TensorFlow Meets))

1

在TensorFlow中使用GPU，在筆記本中使用TensorBoard，尋找新的數據集，等等(#AskTensorFlow) (Using GPUs in TensorFlow, TensorBoard in notebooks, finding new datasets, & more! (#AskTensorFlow))

12:56

在TensorFlow中使用GPU，在筆記本中使用TensorBoard，尋找新的數據集，等等(#AskTensorFlow) (Using GPUs in TensorFlow, TensorBoard in notebooks, finding new datasets, & more! (#AskTensorFlow))

2

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

Python中的集子 ||Python教程 ||學習Python編程 (Sets in Python || Python Tutorial || Learn Python Programming)

06:34

Python中的集子 ||Python教程 ||學習Python編程 (Sets in Python || Python Tutorial || Learn Python Programming)

2

TensorFlow World 2019 | 第2天生活流 PM (TensorFlow World 2019 | Day 2 Livestream PM)

260:18

TensorFlow World 2019 | 第2天生活流 PM (TensorFlow World 2019 | Day 2 Livestream PM)

3

平衡RNN序列數據--深度學習/Python、TensorFlow和Keras p.10 (Balancing RNN sequence data - Deep Learning w/ Python, TensorFlow and Keras p.10)

07:20

平衡RNN序列數據--深度學習/Python、TensorFlow和Keras p.10 (Balancing RNN sequence data - Deep Learning w/ Python, TensorFlow and Keras p.10)

1

你能用Python做什麼？- 3個主要應用 (What Can You Do with Python? - The 3 Main Applications)

11:30

你能用Python做什麼？- 3個主要應用 (What Can You Do with Python? - The 3 Main Applications)

53

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

數據分析9：數據迴歸 - Computerphile (Data Analysis 9: Data Regression - Computerphile)

16:04

數據分析9：數據迴歸 - Computerphile (Data Analysis 9: Data Regression - Computerphile)

7

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

字幕已審核

世界上最年輕的億萬富翁！這位25歲的大學輟學生白手起家創造市值73億美元的公司！ (The New Youngest Self-Made Billionaire In The World Is A 25-Year-Old College Dropout | Forbes)

06:52

世界上最年輕的億萬富翁！這位25歲的大學輟學生白手起家創造市值73億美元的公司！ (The New Youngest Self-Made Billionaire In The World Is A 25-Year-Old College Dropout | Forbes)

40754

中文 B1 中級

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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

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

現場直播#188：ml5.neuralNetwork (Live Stream #188: ml5.neuralNetwork)

176:37

現場直播#188：ml5.neuralNetwork (Live Stream #188: ml5.neuralNetwork)

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三個深度學習可以教你的事！ (3 reasons to go Deep - Ep. 3 (Deep Learning SIMPLIFIED))

03:57

三個深度學習可以教你的事！ (3 reasons to go Deep - Ep. 3 (Deep Learning SIMPLIFIED))

28861

中文 B1 中級

分佈式TensorFlow訓練（谷歌I/O'18 (Distributed TensorFlow training (Google I/O '18))

35:27

分佈式TensorFlow訓練（谷歌I/O'18 (Distributed TensorFlow training (Google I/O '18))

2

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

薩爾曼-汗：視頻改變教育 (Salman Khan：Videos change education)

20:59

薩爾曼-汗：視頻改變教育 (Salman Khan：Videos change education)

490

中文 A2 初級

介紹 - 智能的數學 (Intro - The Math of Intelligence)

11:17

介紹 - 智能的數學 (Intro - The Math of Intelligence)

46

計算機科學地圖 (Map of Computer Science)

10:58

計算機科學地圖 (Map of Computer Science)

219

中文 B1 中級

軟件工程師的職業發展路徑以及如何駕馭它。 (Career Paths for Software Engineers and how to navigate it.)

13:15

軟件工程師的職業發展路徑以及如何駕馭它。 (Career Paths for Software Engineers and how to navigate it.)

7

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

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

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

在5分鐘內開始使用TensorFlow的高級API | Google I/O 2018 (Get started with TensorFlow's High-Level APIs in 5 mins | Google I/O 2018)

05:15

在5分鐘內開始使用TensorFlow的高級API | Google I/O 2018 (Get started with TensorFlow's High-Level APIs in 5 mins | Google I/O 2018)

3

R與Python的比較 [數據科學101] (R versus Python [Data Science 101])

01:52

R與Python的比較 [數據科學101] (R versus Python [Data Science 101])

122

如何在你的ML項目中利用GPU和TPU（Coding TensorFlow）。 (How to take advantage of GPUs and TPUs for your ML project (Coding TensorFlow))

04:24

如何在你的ML項目中利用GPU和TPU（Coding TensorFlow）。 (How to take advantage of GPUs and TPUs for your ML project (Coding TensorFlow))

4

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

We’re already using AI more than we realize

06:32

We’re already using AI more than we realize

18

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

雲計算與在地GPU託管（什麼時候用，用什麼？ (Cloud vs Local GPU Hosting (what to use and when?))

14:16

雲計算與在地GPU託管（什麼時候用，用什麼？ (Cloud vs Local GPU Hosting (what to use and when?))

3

AI新聞2017年3月 (AI News: March 2017)

02:18

AI新聞2017年3月 (AI News: March 2017)

100

數據分析6：主成分分析(PCA)--電腦愛好者。 (Data Analysis 6: Principal Component Analysis (PCA) - Computerphile)

20:09

數據分析6：主成分分析(PCA)--電腦愛好者。 (Data Analysis 6: Principal Component Analysis (PCA) - Computerphile)

3

神經網絡。統計速成班#41 (Neural Networks: Crash Course Statistics #41)

12:16

神經網絡。統計速成班#41 (Neural Networks: Crash Course Statistics #41)

2

查看數據--海立AI大賽中的深度學習第4頁 (Checking out Data - Deep Learning in Halite AI competition p.4)

25:04

查看數據--海立AI大賽中的深度學習第4頁 (Checking out Data - Deep Learning in Halite AI competition p.4)

2

獲得數據科學工作的5個技巧[INTERVIEW]。 (5 Tips for Getting a Data Science Job [INTERVIEW])

18:13

獲得數據科學工作的5個技巧[INTERVIEW]。 (5 Tips for Getting a Data Science Job [INTERVIEW])

5

人工智能的未來。人工智能速成班第20期 (The Future of Artificial Intelligence: Crash Course AI #20)

11:00

人工智能的未來。人工智能速成班第20期 (The Future of Artificial Intelligence: Crash Course AI #20)

8

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

用TF.Learn分類手寫數字--機器學習食譜#7。 (Classifying Handwritten Digits with TF.Learn - Machine Learning Recipes #7)

07:01

用TF.Learn分類手寫數字--機器學習食譜#7。 (Classifying Handwritten Digits with TF.Learn - Machine Learning Recipes #7)

21

Swift for TensorFlow (TF World '19) (Swift for TensorFlow (TF World '19))

39:21

Swift for TensorFlow (TF World '19) (Swift for TensorFlow (TF World '19))

2

神經網絡和深度學習。AI速成班#3 (Neural Networks and Deep Learning: Crash Course AI #3)

12:23

神經網絡和深度學習。AI速成班#3 (Neural Networks and Deep Learning: Crash Course AI #3)

2

產品評測。得體DE1+咖啡機 (Product Review: Decent DE1+ Espresso Machine)

14:48

產品評測。得體DE1+咖啡機 (Product Review: Decent DE1+ Espresso Machine)

46

中文 A2 初級

The Turing Lectures: The future of generative AI

97:37

The Turing Lectures: The future of generative AI

19

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

英特爾Naveen Rao博士 - SXSW 2017 - #IntelAI - #theCUBE (Dr. Naveen Rao, Intel - SXSW 2017 - #IntelAI - #theCUBE)

16:50

英特爾Naveen Rao博士 - SXSW 2017 - #IntelAI - #theCUBE (Dr. Naveen Rao, Intel - SXSW 2017 - #IntelAI - #theCUBE)

46

構建影像分類器（ML Zero to Hero，第4部分）。 (Build an image classifier (ML Zero to Hero, part 4))

05:27

構建影像分類器（ML Zero to Hero，第4部分）。 (Build an image classifier (ML Zero to Hero, part 4))

1