10,000 個「 enable distributed tensorflow model training 」的搜尋結果

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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

參與到TF社區中來 (TF開發峰會'20) (Getting involved in the TF community (TF Dev Summit '20))

09:25

參與到TF社區中來 (TF開發峰會'20) (Getting involved in the TF community (TF Dev Summit '20))

2

TensorFlow和深度強化學習，不需要博士學位（Google I/O '18）。 (TensorFlow and deep reinforcement learning, without a PhD (Google I/O '18))

40:47

TensorFlow和深度強化學習，不需要博士學位（Google I/O '18）。 (TensorFlow and deep reinforcement learning, without a PhD (Google I/O '18))

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

準備你的數據的ML | 文本分類教程Pt.1 (編碼TensorFlow) (Prepare your data for ML | Text Classification Tutorial Pt. 1 (Coding TensorFlow))

04:25

準備你的數據的ML | 文本分類教程Pt.1 (編碼TensorFlow) (Prepare your data for ML | Text Classification Tutorial Pt. 1 (Coding TensorFlow))

1

Swift for TensorFlow (TensorFlow @ O'Reilly AI Conference, San Francisco '18) (Swift for TensorFlow (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

12:35

Swift for TensorFlow (TensorFlow @ O'Reilly AI Conference, San Francisco '18) (Swift for TensorFlow (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

4

Inside TensorFlow: tf.Keras (part 2) (Inside TensorFlow: tf.Keras (part 2))

51:34

Inside TensorFlow: tf.Keras (part 2) (Inside TensorFlow: tf.Keras (part 2))

5

08:11

神經網路

8

TensorFlow.js (TensorFlow Meets) (TensorFlow.js (TensorFlow Meets))

05:56

TensorFlow.js (TensorFlow Meets) (TensorFlow.js (TensorFlow Meets))

2

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Python、TensorFlow和Keras進行深度學習教程 (Deep Learning with Python, TensorFlow, and Keras tutorial)

20:34

用Python、TensorFlow和Keras進行深度學習教程 (Deep Learning with Python, TensorFlow, and Keras tutorial)

67

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

TensorFlow內部：摘要和TensorBoard (Inside TensorFlow: Summaries and TensorBoard)

43:23

TensorFlow內部：摘要和TensorBoard (Inside TensorFlow: Summaries and TensorBoard)

1

如何將你的ML模型轉換為TensorFlow Lite（TensorFlow本週小技巧）。 (How to convert your ML model to TensorFlow Lite (TensorFlow Tip of the Week))

02:37

如何將你的ML模型轉換為TensorFlow Lite（TensorFlow本週小技巧）。 (How to convert your ML model to TensorFlow Lite (TensorFlow Tip of the Week))

8

用於氣候分析的Exascale深度學習(TF Dev Summit '19) (Exascale Deep Learning for Climate Analytics (TF Dev Summit ‘19))

14:54

用於氣候分析的Exascale深度學習(TF Dev Summit '19) (Exascale Deep Learning for Climate Analytics (TF Dev Summit ‘19))

2

訓練模型來識別文本中的情感（NLP Zero to Hero，第三部分）。 (Training a model to recognize sentiment in text (NLP Zero to Hero, part 3))

08:35

訓練模型來識別文本中的情感（NLP Zero to Hero，第三部分）。 (Training a model to recognize sentiment in text (NLP Zero to Hero, part 3))

3

TensorFlow內部：TF文件系統 (Inside TensorFlow: TF Filesystems)

26:25

TensorFlow內部：TF文件系統 (Inside TensorFlow: TF Filesystems)

2

NMT概念和參數--用深度學習、Python和TensorFlow創建哈拉機器人第8頁。 (NMT Concepts and Parameters - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.8)

28:17

NMT概念和參數--用深度學習、Python和TensorFlow創建哈拉機器人第8頁。 (NMT Concepts and Parameters - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.8)

7

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

與TensorBoard.dev合作的ML (TF Dev Summit '20) (Collaborative ML with TensorBoard.dev (TF Dev Summit '20))

05:47

與TensorBoard.dev合作的ML (TF Dev Summit '20) (Collaborative ML with TensorBoard.dev (TF Dev Summit '20))

1

將TensorFlow Lite添加到您的Android應用中（TensorFlow每週小貼士）。 (Add TensorFlow Lite to your Android App (TensorFlow Tip of the Week))

02:20

將TensorFlow Lite添加到您的Android應用中（TensorFlow每週小貼士）。 (Add TensorFlow Lite to your Android App (TensorFlow Tip of the Week))

3

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

部署模式--海利特二期2017年人工智能大賽第7頁 (Deploying Model - Halite II 2017 Artificial Intelligence Competition p.7)

18:23

部署模式--海利特二期2017年人工智能大賽第7頁 (Deploying Model - Halite II 2017 Artificial Intelligence Competition p.7)

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

使用TensorFlow進行研究（TF Dev Summit '20）。 (Research with TensorFlow (TF Dev Summit '20))

16:01

使用TensorFlow進行研究（TF Dev Summit '20）。 (Research with TensorFlow (TF Dev Summit '20))

1

TensorFlow 2.0速成班 (TensorFlow 2.0 Crash Course)

133:17

TensorFlow 2.0速成班 (TensorFlow 2.0 Crash Course)

2

為你的JavaScript應用提供機器學習魔力（Google I/O'19) (Machine Learning Magic for Your JavaScript Application (Google I/O'19))

39:02

為你的JavaScript應用提供機器學習魔力（Google I/O'19) (Machine Learning Magic for Your JavaScript Application (Google I/O'19))

1

AI Pong - TensorFlow.js p.3 (AI Pong - TensorFlow.js p.3)

15:47

AI Pong - TensorFlow.js p.3 (AI Pong - TensorFlow.js p.3)

3

TensorFlow 2.0和Keras (#AskTensorFlow) (TensorFlow 2.0 and Keras (#AskTensorFlow))

05:23

TensorFlow 2.0和Keras (#AskTensorFlow) (TensorFlow 2.0 and Keras (#AskTensorFlow))

1

生成模型基礎知識--非常規神經網絡第1頁。 (Generative Model Basics - Unconventional Neural Networks p.1)

14:12

生成模型基礎知識--非常規神經網絡第1頁。 (Generative Model Basics - Unconventional Neural Networks p.1)

8

查爾斯2.0的變化 - Python玩GTA V - 自動駕駛汽車 (Charles 2.0 going over changes - Python Plays GTA V - Self-driving Car)

15:23

查爾斯2.0的變化 - Python玩GTA V - 自動駕駛汽車 (Charles 2.0 going over changes - Python Plays GTA V - Self-driving Car)

4

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

用tf.text建立模型(TF World '19) (Building models with tf.text (TF World '19))

39:33

用tf.text建立模型(TF World '19) (Building models with tf.text (TF World '19))

2

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

咒語與伊寧石的風格轉換 (Style Transfer using Spell with Yining Shi)

86:41

咒語與伊寧石的風格轉換 (Style Transfer using Spell with Yining Shi)

6

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

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

TensorFlow開源社區與合作(TF Dev Summit '19) (TensorFlow Open Source Community And Collaboration (TF Dev Summit '19))

13:24

TensorFlow開源社區與合作(TF Dev Summit '19) (TensorFlow Open Source Community And Collaboration (TF Dev Summit '19))

3

在Android Things上使用谷歌雲和TensorFlow（Google I/O'17）。 (Using Google Cloud and TensorFlow on Android Things (Google I/O '17))

32:59

在Android Things上使用谷歌雲和TensorFlow（Google I/O'17）。 (Using Google Cloud and TensorFlow on Android Things (Google I/O '17))

109

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

TensorFlow內部：tf.Keras(第1部分) (Inside TensorFlow: tf.Keras (part 1))

53:37

TensorFlow內部：tf.Keras(第1部分) (Inside TensorFlow: tf.Keras (part 1))

7

TensorFlow概率（TensorFlow @ O'Reilly AI大會，舊金山'18）。 (TensorFlow Probability (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

16:01

TensorFlow概率（TensorFlow @ O'Reilly AI大會，舊金山'18）。 (TensorFlow Probability (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

3

TensorFlow 2.0。TensorFlow 2.0：概述 (#AskTensorFlow) (TensorFlow 2.0: An Overview (#AskTensorFlow))

08:57

TensorFlow 2.0。TensorFlow 2.0：概述 (#AskTensorFlow) (TensorFlow 2.0: An Overview (#AskTensorFlow))

1

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

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

TensorFlow Profiler演示 (TF Dev Summit '20) (TensorFlow Profiler demo (TF Dev Summit '20))

07:51

TensorFlow Profiler演示 (TF Dev Summit '20) (TensorFlow Profiler demo (TF Dev Summit '20))

3