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10,000 個「 deep learning with tensorflow 」的搜尋結果

依關聯性

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))

6

TFRT：一個新的TensorFlow運行時(TF Dev Summit '20) (TFRT: A new TensorFlow runtime (TF Dev Summit '20))

10:10

TFRT：一個新的TensorFlow運行時(TF Dev Summit '20) (TFRT: A new TensorFlow runtime (TF Dev Summit '20))

7

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 2.0升級，Python支持，以及更多！ (#AskTensorFlow)(#AskTensorFlow) (TensorFlow 2.0 upgrade, Python support, & more! (#AskTensorFlow))

11:51

TensorFlow 2.0升級，Python支持，以及更多！ (#AskTensorFlow)(#AskTensorFlow) (TensorFlow 2.0 upgrade, Python support, & more! (#AskTensorFlow))

4

TensorFlow Extended (TFX)和元數據(TensorFlow Meets) (TensorFlow Extended (TFX) and Metadata (TensorFlow Meets))

04:47

TensorFlow Extended (TFX)和元數據(TensorFlow Meets) (TensorFlow Extended (TFX) and Metadata (TensorFlow Meets))

2

如何開始使用AI/ML，重新訓練模型等!(#AskTensorFlow) (How to get started with AI/ML, retraining models, & more! (#AskTensorFlow))

05:54

如何開始使用AI/ML，重新訓練模型等!(#AskTensorFlow) (How to get started with AI/ML, retraining models, & more! (#AskTensorFlow))

6

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

17:41

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

3

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))

5

TF 2.x on Kaggle (TF Dev Summit '20) (TF 2.x on Kaggle (TF Dev Summit '20))

05:33

TF 2.x on Kaggle (TF Dev Summit '20) (TF 2.x on Kaggle (TF Dev Summit '20))

3

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)

9

PAI：阿里巴巴的A.I.平臺(19年TF開發峰會) (PAI: Platform of A.I. in Alibaba (TF Dev Summit '19))

05:14

PAI：阿里巴巴的A.I.平臺(19年TF開發峰會) (PAI: Platform of A.I. in Alibaba (TF Dev Summit '19))

1

雲計算TPU（TensorFlow @ O'Reilly AI大會，18年舊金山）。 (Cloud TPUs (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

22:09

雲計算TPU（TensorFlow @ O'Reilly AI大會，18年舊金山）。 (Cloud TPUs (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

6

用TensorFlow負責任的AI（TF Dev Summit '20）。 (Responsible AI with TensorFlow (TF Dev Summit '20))

21:52

用TensorFlow負責任的AI（TF Dev Summit '20）。 (Responsible AI with TensorFlow (TF Dev Summit '20))

3

在瀏覽器中嘗試TensorFlow.js (Coding TensorFlow) (Try TensorFlow.js in your browser (Coding TensorFlow))

07:07

在瀏覽器中嘗試TensorFlow.js (Coding TensorFlow) (Try TensorFlow.js in your browser (Coding TensorFlow))

4

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))

4

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

37:31

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

3

TensorFlow Lite for Microcontrollers (TF Dev Summit '20) (TensorFlow Lite for Microcontrollers (TF Dev Summit '20))

04:09

TensorFlow Lite for Microcontrollers (TF Dev Summit '20) (TensorFlow Lite for Microcontrollers (TF Dev Summit '20))

2

第2天主題演講（TF World '19) (Day 2 Keynote (TF World '19))

89:35

第2天主題演講（TF World '19) (Day 2 Keynote (TF World '19))

5

面向移動開發者的TensorFlow Lite (Google I/O '18) (TensorFlow Lite for mobile developers (Google I/O '18))

37:07

面向移動開發者的TensorFlow Lite (Google I/O '18) (TensorFlow Lite for mobile developers (Google I/O '18))

6

宣佈TensorFlow 2.0 (Announcing TensorFlow 2.0)

04:10

宣佈TensorFlow 2.0 (Announcing TensorFlow 2.0)

3

升級您現有的TensorFlow 2.0代碼（編碼TensorFlow）。 (Upgrade your existing code for TensorFlow 2.0 (Coding TensorFlow))

03:17

升級您現有的TensorFlow 2.0代碼（編碼TensorFlow）。 (Upgrade your existing code for TensorFlow 2.0 (Coding TensorFlow))

4

TensorFlow中的神經結構化學習(TF World '19) (Neural structured learning in TensorFlow (TF World '19))

42:30

TensorFlow中的神經結構化學習(TF World '19) (Neural structured learning in TensorFlow (TF World '19))

2

使用TensorFlow Hub（TensorFlow Meets）更快地訓練模型。 (Training models faster with TensorFlow Hub (TensorFlow Meets))

06:38

使用TensorFlow Hub（TensorFlow Meets）更快地訓練模型。 (Training models faster with TensorFlow Hub (TensorFlow Meets))

2

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)

5

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))

4

為機器學習準備你的數據集（TensorFlow編碼）。 (Prepare your dataset for machine learning (Coding TensorFlow))

07:37

為機器學習準備你的數據集（TensorFlow編碼）。 (Prepare your dataset for machine learning (Coding TensorFlow))

2

TensorFlow Hub。讓模型發現變得簡單（TF Dev Summit '20) (TensorFlow Hub: Making model discovery easy (TF Dev Summit '20))

09:03

TensorFlow Hub。讓模型發現變得簡單（TF Dev Summit '20) (TensorFlow Hub: Making model discovery easy (TF Dev Summit '20))

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

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

使用TensorFlow的自然語言處理2--初級課程 (Natural Language Processing with TensorFlow 2 - Beginner's Course)

95:44

使用TensorFlow的自然語言處理2--初級課程 (Natural Language Processing with TensorFlow 2 - Beginner's Course)

7

由TensorFlow提供支持：利用機器學習幫助古籍整理者轉錄中世紀文本。 (Powered by TensorFlow: helping paleographers transcribe medieval text using machine learning)

02:59

由TensorFlow提供支持：利用機器學習幫助古籍整理者轉錄中世紀文本。 (Powered by TensorFlow: helping paleographers transcribe medieval text using machine learning)

4

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))

3

機器學習從零到英雄（Google I/O'19) (Machine Learning Zero to Hero (Google I/O'19))

35:33

機器學習從零到英雄（Google I/O'19) (Machine Learning Zero to Hero (Google I/O'19))

9

TF-Agents.A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19)TensorFlow的靈活強化學習庫（Google I/O'19) (TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19))

39:10

TF-Agents.A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19)TensorFlow的靈活強化學習庫（Google I/O'19) (TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19))

3

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)

5

TensorFlow高級API。第1部分--加載數據 (TensorFlow high-level APIs: Part 1 - loading data)

07:04

TensorFlow高級API。第1部分--加載數據 (TensorFlow high-level APIs: Part 1 - loading data)

5

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)

11

Swift在機器學習中的威力（TensorFlow的遇見 (The Power of Swift for Machine Learning (TensorFlow Meets))

06:31

Swift在機器學習中的威力（TensorFlow的遇見 (The Power of Swift for Machine Learning (TensorFlow Meets))

5

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))

3

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

38:27

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

4

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))

3

以英語為母語的人絕對不會說的5件事! (5 things native English speakers NEVER say!)

07:42

以英語為母語的人絕對不會說的5件事! (5 things native English speakers NEVER say!)

301

中文 A2 初級

S1E3:Gilbert Strang教授讓深度學習變得人性化 (S1E3: Making Deep Learning Human with Prof. Gilbert Strang)

10:48

S1E3:Gilbert Strang教授讓深度學習變得人性化 (S1E3: Making Deep Learning Human with Prof. Gilbert Strang)

4

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)

8

烏克蘭：總統們討論戰爭終結！BBC 英語學習 (Ukraine: Presidents discuss end to war: BBC Learning English from the News)

07:35

烏克蘭：總統們討論戰爭終結！BBC 英語學習 (Ukraine: Presidents discuss end to war: BBC Learning English from the News)

15

中文 B2 中高級

真實世界的機器人學習（TensorFlow Dev Summit 2018）。 (Real-World Robot Learning (TensorFlow Dev Summit 2018))

10:02

真實世界的機器人學習（TensorFlow Dev Summit 2018）。 (Real-World Robot Learning (TensorFlow Dev Summit 2018))

4

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