10,000 個「 preparing data for machine learning 」的搜尋結果

依關聯性

VoiceTube 廣告

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

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

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

使用LSTM和Nabil Hassein的拼寫生成文本。 (Text Generation with LSTM and Spell with Nabil Hassein)

40:37

使用LSTM和Nabil Hassein的拼寫生成文本。 (Text Generation with LSTM and Spell with Nabil Hassein)

3

量子神經網絡的層智學習（TF Dev Summit '20）。 (Layer-wise learning for quantum neural networks (TF Dev Summit '20))

05:11

量子神經網絡的層智學習（TF Dev Summit '20）。 (Layer-wise learning for quantum neural networks (TF Dev Summit '20))

3

別再杞人憂天了！來看看怎麼活在當下 (HOW TO STOP WORRYING AND START LIVING BY DALE CARNEGIE - ANIMATED BOOK REVIEW)

10:17

別再杞人憂天了！來看看怎麼活在當下 (HOW TO STOP WORRYING AND START LIVING BY DALE CARNEGIE - ANIMATED BOOK REVIEW)

1655

中文 A2 初級

今天的人工智能有多智能？ (How smart is today's artificial intelligence?)

07:53

今天的人工智能有多智能？ (How smart is today's artificial intelligence?)

156

使用Nabil Hassein的Spell生成文本。 (Text Generation using Spell with Nabil Hassein)

58:31

使用Nabil Hassein的Spell生成文本。 (Text Generation using Spell with Nabil Hassein)

1

Google IO 2018: 人工智彗 (Building the future of artificial intelligence for everyone (Google I/O '18))

40:53

Google IO 2018: 人工智彗 (Building the future of artificial intelligence for everyone (Google I/O '18))

318

用TensorFlow構建AI：概述（TensorFlow @ O'Reilly AI大會，舊金山'18）。 (Building AI with TensorFlow: An Overview (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

42:53

用TensorFlow構建AI：概述（TensorFlow @ O'Reilly AI大會，舊金山'18）。 (Building AI with TensorFlow: An Overview (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

4

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

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

用TensorFlow負責任的AI（TF Dev Summit '20）。 (Responsible AI with TensorFlow (TF Dev Summit '20))

21:52

用TensorFlow負責任的AI（TF Dev Summit '20）。 (Responsible AI with TensorFlow (TF Dev Summit '20))

2

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

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

構建一個神經網絡來執行分類｜TensorFlow.js (Coding TensorFlow) (Build a neural network to perform classification | TensorFlow.js (Coding TensorFlow))

07:45

構建一個神經網絡來執行分類｜TensorFlow.js (Coding TensorFlow) (Build a neural network to perform classification | TensorFlow.js (Coding TensorFlow))

2

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

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

問題的核心 (The heart of the matter)

02:30

問題的核心 (The heart of the matter)

139

雲TPU艙。針對大型機器學習問題的AI超級計算（Google I/O'19) (Cloud TPU Pods: AI Supercomputing for Large Machine Learning Problems (Google I/O'19))

41:48

雲TPU艙。針對大型機器學習問題的AI超級計算（Google I/O'19) (Cloud TPU Pods: AI Supercomputing for Large Machine Learning Problems (Google I/O'19))

3

介紹Google Coral：構建設備上的AI（Google I/O'19）。 (Introducing Google Coral: Building On-Device AI (Google I/O'19))

45:00

介紹Google Coral：構建設備上的AI（Google I/O'19）。 (Introducing Google Coral: Building On-Device AI (Google I/O'19))

3

H1N1：為最壞的情況做準備 (H1N1: Preparing For The Worst)

02:08

H1N1：為最壞的情況做準備 (H1N1: Preparing For The Worst)

3

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

7.10：TensorFlow.js顏色分類器。訓練模型 (7.10: TensorFlow.js Color Classifier: Training the Model)

13:34

7.10：TensorFlow.js顏色分類器。訓練模型 (7.10: TensorFlow.js Color Classifier: Training the Model)

3

學校是否在為你的過去做準備？ (Is School Preparing You For The Past?)

06:44

學校是否在為你的過去做準備？ (Is School Preparing You For The Past?)

6

雲計算中的分佈式培訓 (Distributed Training in the Cloud)

04:45

雲計算中的分佈式培訓 (Distributed Training in the Cloud)

27

TensorFlow Extended（TFX）（2018年TensorFlow發展峰會）。 (TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018))

26:01

TensorFlow Extended（TFX）（2018年TensorFlow發展峰會）。 (TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018))

1

真實世界的機器人學習（TensorFlow Dev Summit 2018）。 (Real-World Robot Learning (TensorFlow Dev Summit 2018))

10:02

真實世界的機器人學習（TensorFlow Dev Summit 2018）。 (Real-World Robot Learning (TensorFlow Dev Summit 2018))

2

贏得下一次行為學面試 + 數據科學技巧 (Ace your next BEHAVIORAL INTERVIEW + Data Science Tips)

11:38

贏得下一次行為學面試 + 數據科學技巧 (Ace your next BEHAVIORAL INTERVIEW + Data Science Tips)

9

中文 A2 初級

冠狀病毒。為最壞的情況做準備 (Coronavirus: Preparing for the worst)

04:44

冠狀病毒。為最壞的情況做準備 (Coronavirus: Preparing for the worst)

5

鯨歌與人工智能，供大家探討。 (Whale Songs and AI, for everyone to explore)

04:25

鯨歌與人工智能，供大家探討。 (Whale Songs and AI, for everyone to explore)

9

簡單明瞭的估算器(AI歷險記) (Plain and Simple Estimators (AI Adventures))

05:47

簡單明瞭的估算器(AI歷險記) (Plain and Simple Estimators (AI Adventures))

57

在Codice Ratio。梵蒂岡祕密檔案中的機器轉錄(TF Dev Summit '19) (In Codice Ratio: Machine Transcription in the Vatican Secret Archive (TF Dev Summit '19))

11:22

在Codice Ratio。梵蒂岡祕密檔案中的機器轉錄(TF Dev Summit '19) (In Codice Ratio: Machine Transcription in the Vatican Secret Archive (TF Dev Summit '19))

9

字幕已審核

跟著BBC學英文十分鐘內上十堂英文課！ (BOX SET: English In A Minute 10 – TEN English lessons in 10 minutes!)

08:55

跟著BBC學英文十分鐘內上十堂英文課！ (BOX SET: English In A Minute 10 – TEN English lessons in 10 minutes!)

32822

中文 A2 初級

你的選擇深度網絡 - 第4集 (深度學習SIMPLIFIED) (Your choice of Deep Net - Ep. 4 (Deep Learning SIMPLIFIED))

02:59

你的選擇深度網絡 - 第4集 (深度學習SIMPLIFIED) (Your choice of Deep Net - Ep. 4 (Deep Learning SIMPLIFIED))

180

365數據科學在線計劃 (365 Data Science Online Program)

04:41

365數據科學在線計劃 (365 Data Science Online Program)

2

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

Jeff Dean在TF World '19（TensorFlow Meets）上討論機器學習的未來。 (Jeff Dean discusses the future of machine learning at TF World ‘19 (TensorFlow Meets))

07:21

Jeff Dean在TF World '19（TensorFlow Meets）上討論機器學習的未來。 (Jeff Dean discusses the future of machine learning at TF World ‘19 (TensorFlow Meets))

2

神經結構化學習--第3部分：用合成圖訓練 (Neural Structured Learning - Part 3: Training with synthesized graphs)

05:16

神經結構化學習--第3部分：用合成圖訓練 (Neural Structured Learning - Part 3: Training with synthesized graphs)

4

佐治亞州如何準備應對冠狀病毒 (How Georgia is preparing for coronavirus)

02:38

佐治亞州如何準備應對冠狀病毒 (How Georgia is preparing for coronavirus)

16

Neko Atsume CLAW MACHINE // The Quest for the Bag Cat(袋貓) (Neko Atsume CLAW MACHINE // The Quest for the Bag Cat)

09:56

Neko Atsume CLAW MACHINE // The Quest for the Bag Cat(袋貓) (Neko Atsume CLAW MACHINE // The Quest for the Bag Cat)

3

如何開始使用AI/ML，重新訓練模型等!(#AskTensorFlow) (How to get started with AI/ML, retraining models, & more! (#AskTensorFlow))

05:54

如何開始使用AI/ML，重新訓練模型等!(#AskTensorFlow) (How to get started with AI/ML, retraining models, & more! (#AskTensorFlow))

3

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

TF World '19中的TensorFlow有哪些新內容？ (What’s new in TensorFlow from TF World ‘19)

05:12

TF World '19中的TensorFlow有哪些新內容？ (What’s new in TensorFlow from TF World ‘19)

1

用例--第12集（深度學習SIMPLIFIED）。 (Use Cases - Ep. 12 (Deep Learning SIMPLIFIED))

09:34

用例--第12集（深度學習SIMPLIFIED）。 (Use Cases - Ep. 12 (Deep Learning SIMPLIFIED))

854

計算機視覺註釋工具。數據註釋的通用方法｜AI新聞｜英特爾軟件 (Computer Vision Annotation Tool: A Universal Approach to Data Annotation | AI News | Intel Software)

01:24

計算機視覺註釋工具。數據註釋的通用方法｜AI新聞｜英特爾軟件 (Computer Vision Annotation Tool: A Universal Approach to Data Annotation | AI News | Intel Software)

69