10,000 個「 tensorflow data best practices 」的搜尋結果

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Megan Kacholia採訪（TensorFlow遇見）。 (Megan Kacholia interview (TensorFlow Meets))

07:25

Megan Kacholia採訪（TensorFlow遇見）。 (Megan Kacholia interview (TensorFlow Meets))

2

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

TensorFlow內部：tf.distribution.Strategy。 (Inside TensorFlow: tf.distribute.Strategy)

54:33

TensorFlow內部：tf.distribution.Strategy。 (Inside TensorFlow: tf.distribute.Strategy)

4

TensorFlow Lite:在設備上運行ML的解決方案 (TF World '19) (TensorFlow Lite: Solution for running ML on-device (TF World '19))

33:43

TensorFlow Lite:在設備上運行ML的解決方案 (TF World '19) (TensorFlow Lite: Solution for running ML on-device (TF World '19))

2

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

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

TensorFlow 1與TensorFlow 2：新TF更好嗎？ (TensorFlow 1 vs TensorFlow 2: Is the new TF better?)

02:33

TensorFlow 1與TensorFlow 2：新TF更好嗎？ (TensorFlow 1 vs TensorFlow 2: Is the new TF better?)

1

回答你的TF Lite問題以及更多(#AskTensorFlow) (Answering your TF Lite questions and more! (#AskTensorFlow))

15:40

回答你的TF Lite問題以及更多(#AskTensorFlow) (Answering your TF Lite questions and more! (#AskTensorFlow))

2

參與TensorFlow社區 (TF World '19) (Getting involved in the TensorFlow community (TF World '19))

31:26

參與TensorFlow社區 (TF World '19) (Getting involved in the TensorFlow community (TF World '19))

3

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

拯救生命的AI和JavaScript｜安在文｜JSConf Korea 2019(en sub) (Lifesaving AI and JavaScript | Jaeman An | JSConf Korea 2019(en sub))

24:56

拯救生命的AI和JavaScript｜安在文｜JSConf Korea 2019(en sub) (Lifesaving AI and JavaScript | Jaeman An | JSConf Korea 2019(en sub))

3

Inside TensorFlow：急切的執行運行時。 (Inside TensorFlow: Eager execution runtime)

45:11

Inside TensorFlow：急切的執行運行時。 (Inside TensorFlow: Eager execution runtime)

2

從原型到生產，輕鬆實現設備上的ML（TF Dev Summit '20）。 (Easy on-device ML from prototype to production (TF Dev Summit '20))

16:30

從原型到生產，輕鬆實現設備上的ML（TF Dev Summit '20）。 (Easy on-device ML from prototype to production (TF Dev Summit '20))

1

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

用Colab中的TensorFlow在4分鐘內構建一個深度神經網絡。 (Build a deep neural network in 4 mins with TensorFlow in Colab)

03:54

用Colab中的TensorFlow在4分鐘內構建一個深度神經網絡。 (Build a deep neural network in 4 mins with TensorFlow in Colab)

2

來自戰壕的TensorFlow和ML。JPL的創新體驗中心(TF Dev Summit '20) (TensorFlow and ML from the trenches: The Innovation Experience Center at JPL (TF Dev Summit '20))

07:47

來自戰壕的TensorFlow和ML。JPL的創新體驗中心(TF Dev Summit '20) (TensorFlow and ML from the trenches: The Innovation Experience Center at JPL (TF Dev Summit '20))

2

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

從數據庫到訓練數據--用深度學習、Python和TensorFlow創建哈拉機器人 p.6 (Database to Training Data - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.6)

12:29

從數據庫到訓練數據--用深度學習、Python和TensorFlow創建哈拉機器人 p.6 (Database to Training Data - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.6)

7

第8講 | 深度學習軟件 (Lecture 8 | Deep Learning Software)

78:07

第8講 | 深度學習軟件 (Lecture 8 | Deep Learning Software)

65

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

金融101，金融概述、基礎知識和最佳實踐。 (finance 101, finance overview, basics, and best practices)

81:56

金融101，金融概述、基礎知識和最佳實踐。 (finance 101, finance overview, basics, and best practices)

16

健康和安全要點。實驗室最佳做法 (Health and Safety Essentials: Laboratory Best Practices)

03:29

健康和安全要點。實驗室最佳做法 (Health and Safety Essentials: Laboratory Best Practices)

137

TensorFlow內部。資源和變種 (Inside TensorFlow: Resources and Variants)

46:55

TensorFlow內部。資源和變種 (Inside TensorFlow: Resources and Variants)

2

完整的數據科學培訓 (Complete Data Science Training)

01:50

完整的數據科學培訓 (Complete Data Science Training)

14

用Python訓練模型並加載到TensorFlow.js中 - TensorFlow.js p.4 (Training model in Python and Loading into TensorFlow.js - TensorFlow.js p.4)

19:54

用Python訓練模型並加載到TensorFlow.js中 - TensorFlow.js p.4 (Training model in Python and Loading into TensorFlow.js - TensorFlow.js p.4)

2

可口可樂公司的應用人工智能（TensorFlow Dev Summit 2018）。 (Applied AI at The Coca-Cola Company (TensorFlow Dev Summit 2018))

10:35

可口可樂公司的應用人工智能（TensorFlow Dev Summit 2018）。 (Applied AI at The Coca-Cola Company (TensorFlow Dev Summit 2018))

2

TensorFlow內部：tf.data - TF輸入管道 (Inside TensorFlow: tf.data - TF Input Pipeline)

53:52

TensorFlow內部：tf.data - TF輸入管道 (Inside TensorFlow: tf.data - TF Input Pipeline)

3

沒有博士學位的TensorFlow和深度學習，第一部分（Google Cloud Next '17）。 (TensorFlow and Deep Learning without a PhD, Part 1 (Google Cloud Next '17))

55:52

沒有博士學位的TensorFlow和深度學習，第一部分（Google Cloud Next '17）。 (TensorFlow and Deep Learning without a PhD, Part 1 (Google Cloud Next '17))

186

TF 2中的性能剖析（TF開發峰會'20) (Performance profiling in TF 2 (TF Dev Summit '20))

09:47

TF 2中的性能剖析（TF開發峰會'20) (Performance profiling in TF 2 (TF Dev Summit '20))

5

教師合作。在全校範圍內傳播最佳做法 (Teacher Collaboration: Spreading Best Practices School-Wide)

03:26

教師合作。在全校範圍內傳播最佳做法 (Teacher Collaboration: Spreading Best Practices School-Wide)

35

設計神經網絡｜文本分類教程Pt.2 (編碼TensorFlow) (Designing a neural network | Text Classification Tutorial Pt. 2 (Coding TensorFlow))

06:03

設計神經網絡｜文本分類教程Pt.2 (編碼TensorFlow) (Designing a neural network | Text Classification Tutorial Pt. 2 (Coding TensorFlow))

5

Magenta項目（2018年TensorFlow發展峰會）。 (Project Magenta (TensorFlow Dev Summit 2018))

13:57

Magenta項目（2018年TensorFlow發展峰會）。 (Project Magenta (TensorFlow Dev Summit 2018))

1

TensorBoard中的新內容（TF Dev Summit '19) (What's new in TensorBoard (TF Dev Summit '19))

07:43

TensorBoard中的新內容（TF Dev Summit '19) (What's new in TensorBoard (TF Dev Summit '19))

1

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

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

擺好姿勢--JavaScript中的手勢識別/ML與Arduino--Charlie Gerard--2019年美國JSConf大會。 (Strike a Pose - Gesture recognition in JavaScript w/ ML & Arduino - Charlie Gerard - JSConf US 2019)

27:53

擺好姿勢--JavaScript中的手勢識別/ML與Arduino--Charlie Gerard--2019年美國JSConf大會。 (Strike a Pose - Gesture recognition in JavaScript w/ ML & Arduino - Charlie Gerard - JSConf US 2019)

1

數據科學的三大編程語言 (Top 3 Programming Languages For Data Science)

09:05

數據科學的三大編程語言 (Top 3 Programming Languages For Data Science)

2

TensorFlow內部。TF調試 (Inside TensorFlow: TF Debugging)

38:27

TensorFlow內部。TF調試 (Inside TensorFlow: TF Debugging)

2

TensorFlow內部：TF-Agent (Inside TensorFlow: TF-Agents)

49:59

TensorFlow內部：TF-Agent (Inside TensorFlow: TF-Agents)

5

在TensorFlow與核物理學的交叉點上（TensorFlow遇見 (At the intersection of TensorFlow & nuclear physics (TensorFlow Meets))

07:57

在TensorFlow與核物理學的交叉點上（TensorFlow遇見 (At the intersection of TensorFlow & nuclear physics (TensorFlow Meets))

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

可汗學院支持英語語言學習者的最佳做法 (Khan Academy Best Practices for Supporting English Language Learners)

30:27

可汗學院支持英語語言學習者的最佳做法 (Khan Academy Best Practices for Supporting English Language Learners)

10

專注於你的實驗與TensorFlow估計器（TensorFlow滿足 (Focus on your experiment with TensorFlow Estimators (TensorFlow Meets))

08:11

專注於你的實驗與TensorFlow估計器（TensorFlow滿足 (Focus on your experiment with TensorFlow Estimators (TensorFlow Meets))

3

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

Kemal El Moujahid採訪（TensorFlow Meets）。 (Kemal El Moujahid interview (TensorFlow Meets))

12:16

Kemal El Moujahid採訪（TensorFlow Meets）。 (Kemal El Moujahid interview (TensorFlow Meets))

3

TensorFlow內部：函數，而不是會話 (Inside TensorFlow: Functions, not sessions)

46:09

TensorFlow內部：函數，而不是會話 (Inside TensorFlow: Functions, not sessions)

4