10,000 個「 tensorflow complex data sets 」的搜尋結果

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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

為什麼我需要元數據？(TensorFlow Extended) (Why do I need metadata? (TensorFlow Extended))

05:32

為什麼我需要元數據？(TensorFlow Extended) (Why do I need metadata? (TensorFlow Extended))

1

程序員的TF機器學習（TensorFlow @ O'Reilly AI大會，舊金山18年）。 (TF Machine Learning for Programmers (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

41:56

程序員的TF機器學習（TensorFlow @ O'Reilly AI大會，舊金山18年）。 (TF Machine Learning for Programmers (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

2

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

用tf.data擴展Tensorflow數據處理（TF Dev Summit '20）。 (Scaling Tensorflow data processing with tf.data (TF Dev Summit '20))

12:44

用tf.data擴展Tensorflow數據處理（TF Dev Summit '20）。 (Scaling Tensorflow data processing with tf.data (TF Dev Summit '20))

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

移動和物聯網設備的AI。TensorFlow Lite (Google I/O'19) (AI for Mobile and IoT Devices: TensorFlow Lite (Google I/O'19))

32:19

移動和物聯網設備的AI。TensorFlow Lite (Google I/O'19) (AI for Mobile and IoT Devices: TensorFlow Lite (Google I/O'19))

1

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

33:02

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

2

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

TensorFlow--移動平臺的深度學習解決方案（TensorFlow遇見）。 (TensorFlow - the deep learning solution for mobile platforms (TensorFlow Meets))

08:10

TensorFlow--移動平臺的深度學習解決方案（TensorFlow遇見）。 (TensorFlow - the deep learning solution for mobile platforms (TensorFlow Meets))

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

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

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

在Google Colaboratory中使用TensorFlow入門（編碼TensorFlow）。 (Getting Started with TensorFlow in Google Colaboratory (Coding TensorFlow))

02:29

在Google Colaboratory中使用TensorFlow入門（編碼TensorFlow）。 (Getting Started with TensorFlow in Google Colaboratory (Coding TensorFlow))

8

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

與Udacity的創始人討論TensorFlow（TensorFlow遇見）。 (Discussing TensorFlow with the founder of Udacity (TensorFlow Meets))

03:50

與Udacity的創始人討論TensorFlow（TensorFlow遇見）。 (Discussing TensorFlow with the founder of Udacity (TensorFlow Meets))

2

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

模型理解和業務現實（TensorFlow擴展 (Model Understanding and Business Reality (TensorFlow Extended))

08:53

模型理解和業務現實（TensorFlow擴展 (Model Understanding and Business Reality (TensorFlow Extended))

2

使用tf.data、tf.function和tf.distribution在TensorFlow 2中建立高性能、可擴展的模型 (TF World '19) (Performant, scalable models in TensorFlow 2 with tf.data, tf.function & tf.distribute (TF World '19))

40:35

使用tf.data、tf.function和tf.distribution在TensorFlow 2中建立高性能、可擴展的模型 (TF World '19) (Performant, scalable models in TensorFlow 2 with tf.data, tf.function & tf.distribute (TF World '19))

1

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

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

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

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

保存和加載模型(TensorFlow編碼) (Saving and Loading Models (Coding TensorFlow))

06:53

保存和加載模型(TensorFlow編碼) (Saving and Loading Models (Coding TensorFlow))

1

NVidia TensorRT：高性能深度學習推理加速器(TensorFlow Meets) (NVidia TensorRT: high-performance deep learning inference accelerator (TensorFlow Meets))

08:07

NVidia TensorRT：高性能深度學習推理加速器(TensorFlow Meets) (NVidia TensorRT: high-performance deep learning inference accelerator (TensorFlow Meets))

1

Swift for TensorFlow：下一代機器學習框架（TF Dev Summit '19）。 (Swift for TensorFlow: The Next-Generation Machine Learning Framework (TF Dev Summit '19))

31:22

Swift for TensorFlow：下一代機器學習框架（TF Dev Summit '19）。 (Swift for TensorFlow: The Next-Generation Machine Learning Framework (TF Dev Summit '19))

4

TensorFlow的公平性指標（TF Dev Summit '20) (Fairness Indicators for TensorFlow (TF Dev Summit '20))

06:17

TensorFlow的公平性指標（TF Dev Summit '20) (Fairness Indicators for TensorFlow (TF Dev Summit '20))

4

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

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

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：TensorFlow Lite (Inside TensorFlow: TensorFlow Lite)

37:31

TensorFlow內部：TensorFlow Lite (Inside TensorFlow: TensorFlow Lite)

2

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

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

16:07

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

1

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

數據分析讓複雜的地球過程變得有意義 (Data analytics making sense of complex earth processes)

02:09

數據分析讓複雜的地球過程變得有意義 (Data analytics making sense of complex earth processes)

112

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

54:33

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

4

機器學習和TensorFlow的進展（Google I/O '18）。 (Advances in machine learning and TensorFlow (Google I/O '18))

42:15

機器學習和TensorFlow的進展（Google I/O '18）。 (Advances in machine learning and TensorFlow (Google I/O '18))

2

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

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

TensorFlow模型優化。量化和修剪(TF World'19) (TensorFlow model optimization: Quantization and pruning (TF World '19))

40:50

TensorFlow模型優化。量化和修剪(TF World'19) (TensorFlow model optimization: Quantization and pruning (TF World '19))

1

Oliver Zeigermann - 高級用戶體驗與tensorflow.js | JSUnconf 2019 (Oliver Zeigermann - Advanced UX with tensorflow.js | JSUnconf 2019)

29:10

Oliver Zeigermann - 高級用戶體驗與tensorflow.js | JSUnconf 2019 (Oliver Zeigermann - Advanced UX with tensorflow.js | JSUnconf 2019)

5

Inside TensorFlow：面向TF開發者的MLIR。 (Inside TensorFlow: MLIR for TF developers)

43:41

Inside TensorFlow：面向TF開發者的MLIR。 (Inside TensorFlow: MLIR for TF developers)

4

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

用Tensorflow進行深度學習--張力器、變量和佔位符。 (Deep Learning with Tensorflow - Tensors, Variables and Placeholders)

04:51

用Tensorflow進行深度學習--張力器、變量和佔位符。 (Deep Learning with Tensorflow - Tensors, Variables and Placeholders)

96

BINARY CLASSIFIER WITH TENSORFLOW - CS50 on Twitch, EP.7 (BINARY CLASSIFIER WITH TENSORFLOW - CS50 on Twitch, EP. 7)

138:46

BINARY CLASSIFIER WITH TENSORFLOW - CS50 on Twitch, EP.7 (BINARY CLASSIFIER WITH TENSORFLOW - CS50 on Twitch, EP. 7)

2