5,349 個「 tensorflow tools 」的搜尋結果

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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

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

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

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

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

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

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

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

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

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

工具包介紹｜英特爾發行的OpenVINO工具包｜eWorkshop｜英特爾軟件 (Toolkit Introduction | Intel Distribution of OpenVINO Toolkit | eWorkshop | Intel Software)

04:25

工具包介紹｜英特爾發行的OpenVINO工具包｜eWorkshop｜英特爾軟件 (Toolkit Introduction | Intel Distribution of OpenVINO Toolkit | eWorkshop | Intel Software)

20

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

使用TF模型優化工具包優化您的模型（TF Dev Summit '20）。 (Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20))

17:09

使用TF模型優化工具包優化您的模型（TF Dev Summit '20）。 (Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20))

1

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

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

TensorFlow Extended（TFX）。機器學習管道和模型理解（Google I/O'19) (TensorFlow Extended (TFX): Machine Learning Pipelines and Model Understanding (Google I/O'19))

37:51

TensorFlow Extended（TFX）。機器學習管道和模型理解（Google I/O'19) (TensorFlow Extended (TFX): Machine Learning Pipelines and Model Understanding (Google I/O'19))

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

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

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

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

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

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

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

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

当我们第一次制作工具时（When We First Made Tools）

10:10

当我们第一次制作工具时（When We First Made Tools）

10

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

46:59

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

6

用Keras使用TensorBoard（TensorFlow一週小技巧）。 (Using TensorBoard with Keras (TensorFlow Tip of the Week))

01:58

用Keras使用TensorBoard（TensorFlow一週小技巧）。 (Using TensorBoard with Keras (TensorFlow Tip of the Week))

3

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

49:59

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

5

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

如何架構一個協同的大數據平臺（Google Cloud Next '17）。 (How to architect a collaborative big data platform (Google Cloud Next '17))

33:12

如何架構一個協同的大數據平臺（Google Cloud Next '17）。 (How to architect a collaborative big data platform (Google Cloud Next '17))

309

用PyCharm IDE為你的TensorFlow項目排憂解難（TensorFlow一週小貼士）。 (De-bug your TensorFlow projects with the PyCharm IDE (TensorFlow Tip of the Week))

03:12

用PyCharm IDE為你的TensorFlow項目排憂解難（TensorFlow一週小貼士）。 (De-bug your TensorFlow projects with the PyCharm IDE (TensorFlow Tip of the Week))

5

為Keras快速獲取CSV到數據集中（TensorFlow本週小技巧）。 (Quickly get CSV into datasets for Keras (TensorFlow Tip of the Week))

01:58

為Keras快速獲取CSV到數據集中（TensorFlow本週小技巧）。 (Quickly get CSV into datasets for Keras (TensorFlow Tip of the Week))

3

08:11

神經網路

8

由TensorFlow提供技術支持：利用機器學習幫助醫生檢測呼吸系統疾病。 (Powered by TensorFlow: Helping doctors detect respiratory diseases using machine learning)

03:12

由TensorFlow提供技術支持：利用機器學習幫助醫生檢測呼吸系統疾病。 (Powered by TensorFlow: Helping doctors detect respiratory diseases using machine learning)

7

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

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

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

整合營銷工具 (Integrated Marketing Tools)

01:07

整合營銷工具 (Integrated Marketing Tools)

798

感知型深度學習研究（TensorFlow遇見了 (Affective Deep Learning Research (TensorFlow Meets))

08:02

感知型深度學習研究（TensorFlow遇見了 (Affective Deep Learning Research (TensorFlow Meets))

1

由TensorFlow提供支持：Airbnb使用機器學習幫助其房源照片分類 (Powered by TensorFlow: Airbnb uses machine learning to help categorize its listing photos)

02:38

由TensorFlow提供支持：Airbnb使用機器學習幫助其房源照片分類 (Powered by TensorFlow: Airbnb uses machine learning to help categorize its listing photos)

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