1,279 個「 TensorFlow codes 」的搜尋結果

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改進Tensorflow中的文本(TF Dev Summit '19) (Improving Text In Tensorflow (TF Dev Summit ‘19))

05:12

改進Tensorflow中的文本(TF Dev Summit '19) (Improving Text In Tensorflow (TF Dev Summit ‘19))

3

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

TensorFlow Extended (TFX) 訓練後工作流程（TF Dev Summit '19）。 (TensorFlow Extended (TFX) Post-training Workflow (TF Dev Summit '19))

15:07

TensorFlow Extended (TFX) 訓練後工作流程（TF Dev Summit '19）。 (TensorFlow Extended (TFX) Post-training Workflow (TF Dev Summit '19))

2

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內部：tf.data + tf.distributed。 (Inside TensorFlow: tf.data + tf.distribute)

46:24

TensorFlow內部：tf.data + tf.distributed。 (Inside TensorFlow: tf.data + tf.distribute)

6

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

MiniGo。TensorFlow遇見安德魯-傑克遜(TensorFlow Meets) (MiniGo: TensorFlow Meets Andrew Jackson (TensorFlow Meets))

10:24

MiniGo。TensorFlow遇見安德魯-傑克遜(TensorFlow Meets) (MiniGo: TensorFlow Meets Andrew Jackson (TensorFlow Meets))

2

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

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

由TensorFlow提供支持：利用深度學習來更好地預測極端天氣。 (Powered by TensorFlow: utilizing deep learning to better predict extreme weather)

02:43

由TensorFlow提供支持：利用深度學習來更好地預測極端天氣。 (Powered by TensorFlow: utilizing deep learning to better predict extreme weather)

9

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

TensorFlow高級API。第3部分 - 構建和完善你的模型 (TensorFlow high-level APIs: Part 3 - Building and refining your models)

07:26

TensorFlow高級API。第3部分 - 構建和完善你的模型 (TensorFlow high-level APIs: Part 3 - Building and refining your models)

2

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

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

TensorFlow在生產中。TF Extended、TF Hub和TF Serving (Google I/O '18) (TensorFlow in production: TF Extended, TF Hub, and TF Serving (Google I/O '18))

36:49

TensorFlow在生產中。TF Extended、TF Hub和TF Serving (Google I/O '18) (TensorFlow in production: TF Extended, TF Hub, and TF Serving (Google I/O '18))

4

如何讓你的瀏覽器為TensorFlow做好準備（TensorFlow一週小技巧）。 (How to get your browser ready for TensorFlow (TensorFlow Tip of the Week))

01:55

如何讓你的瀏覽器為TensorFlow做好準備（TensorFlow一週小技巧）。 (How to get your browser ready for TensorFlow (TensorFlow Tip of the Week))

2

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

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

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

深度學習--TensorFlow的 "你好世界 (Deep Learning - TensorFlow's Hello World)

03:12

深度學習--TensorFlow的 "你好世界 (Deep Learning - TensorFlow's Hello World)

91

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

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

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

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

Mesh-TensorFlow：超級計算機的模型並行性(TF Dev Summit '19) (Mesh-TensorFlow: Model Parallelism for Supercomputers (TF Dev Summit ‘19))

15:14

Mesh-TensorFlow：超級計算機的模型並行性(TF Dev Summit '19) (Mesh-TensorFlow: Model Parallelism for Supercomputers (TF Dev Summit ‘19))

2

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

Dyad X Machina：將情感帶入機器學習（TensorFlow Meets）。 (Dyad X Machina: bringing emotion into machine learning (TensorFlow Meets))

10:48

Dyad X Machina：將情感帶入機器學習（TensorFlow Meets）。 (Dyad X Machina: bringing emotion into machine learning (TensorFlow Meets))

5

TensorFlow高級API。第二部分--深入研究數據和特性 (TensorFlow high-level APIs: Part 2 - going deep on data and features)

05:09

TensorFlow高級API。第二部分--深入研究數據和特性 (TensorFlow high-level APIs: Part 2 - going deep on data and features)

2

AutoGraph。簡單的圖形控制流程（TensorFlow本週提示 (AutoGraph: Easy control flow for graphs (TensorFlow Tip of the Week))

02:26

AutoGraph。簡單的圖形控制流程（TensorFlow本週提示 (AutoGraph: Easy control flow for graphs (TensorFlow Tip of the Week))

3

TFX：TensorFlow的端到端機器學習平臺(TensorFlow Meets) (TFX: an end-to-end machine learning platform for TensorFlow (TensorFlow Meets))

06:24

TFX：TensorFlow的端到端機器學習平臺(TensorFlow Meets) (TFX: an end-to-end machine learning platform for TensorFlow (TensorFlow Meets))

5

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

回答你最新的TensorFlow問題#AskTensorFlow (Answering your latest TensorFlow questions! #AskTensorFlow)

11:56

回答你最新的TensorFlow問題#AskTensorFlow (Answering your latest TensorFlow questions! #AskTensorFlow)

3

TensorFlow的發展，增加了對JS和Swift的支持（TensorFlow Meets）。 (The growth of TensorFlow with added support for JS & Swift (TensorFlow Meets))

07:04

TensorFlow的發展，增加了對JS和Swift的支持（TensorFlow Meets）。 (The growth of TensorFlow with added support for JS & Swift (TensorFlow Meets))

8

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

TFX:2020年用TensorFlow生產ML（TF Dev Summit '20）。 (TFX: Production ML with TensorFlow in 2020 (TF Dev Summit '20))

24:22

TFX:2020年用TensorFlow生產ML（TF Dev Summit '20）。 (TFX: Production ML with TensorFlow in 2020 (TF Dev Summit '20))

2

TFX這個東西到底是什麼？(TensorFlow Extended) (What exactly is this TFX thing? (TensorFlow Extended))

05:46

TFX這個東西到底是什麼？(TensorFlow Extended) (What exactly is this TFX thing? (TensorFlow Extended))

2

使用ML預測1型糖尿病的胰島素使用情況（TensorFlow Meets）。 (Using ML to predict insulin use for Type 1 Diabetes (TensorFlow Meets))

12:48

使用ML預測1型糖尿病的胰島素使用情況（TensorFlow Meets）。 (Using ML to predict insulin use for Type 1 Diabetes (TensorFlow Meets))

4

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

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

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內部：控制流 (Inside TensorFlow: Control Flow)

46:59

TensorFlow內部：控制流 (Inside TensorFlow: Control Flow)

6

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

在瀏覽器中使用TensorFlow.js (用英文編碼TensorFlow) (Utilize o TensorFlow.js no seu navegador (Coding TensorFlow em português))

09:29

在瀏覽器中使用TensorFlow.js (用英文編碼TensorFlow) (Utilize o TensorFlow.js no seu navegador (Coding TensorFlow em português))

7

Inside TensorFlow: Graph rewriting (Macros, not functions) (Inside TensorFlow: Graph rewriting (Macros, not functions))

44:03

Inside TensorFlow: Graph rewriting (Macros, not functions) (Inside TensorFlow: Graph rewriting (Macros, not functions))

5

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

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

49:59

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

5