9,102 個「 tensorflow data 」的搜尋結果

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TensorFlow 2.0中的高級API(TensorFlow Meets) (High-Level APIs in TensorFlow 2.0 (TensorFlow Meets))

04:29

TensorFlow 2.0中的高級API(TensorFlow Meets) (High-Level APIs in TensorFlow 2.0 (TensorFlow Meets))

2

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

49:59

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

5

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

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))

1

機器學習如何幫助科學家追蹤小行星？ (How machine learning helps scientists track asteroids)

01:22

機器學習如何幫助科學家追蹤小行星？ (How machine learning helps scientists track asteroids)

9

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

Inside TensorFlow：TF模型優化工具包（量化和剪枝）。 (Inside TensorFlow: TF Model Optimization Toolkit (Quantization and Pruning))

42:35

Inside TensorFlow：TF模型優化工具包（量化和剪枝）。 (Inside TensorFlow: TF Model Optimization Toolkit (Quantization and Pruning))

2

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

機器學習開發者--TensorFlow Dev Summit '19來了! (Machine learning developers - TensorFlow Dev Summit '19 is here!)

00:59

機器學習開發者--TensorFlow Dev Summit '19來了! (Machine learning developers - TensorFlow Dev Summit '19 is here!)

11

使用TensorFlow.js為你的JavaScript應用釋放ML的力量（TF World '19）。 (Unlocking the power of ML for your JavaScript applications with TensorFlow.js (TF World '19))

43:36

使用TensorFlow.js為你的JavaScript應用釋放ML的力量（TF World '19）。 (Unlocking the power of ML for your JavaScript applications with TensorFlow.js (TF World '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))

2

08:11

神經網路

8

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

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

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))

3

為2020年TensorFlow開發峰會做好準備! (Get ready for TensorFlow Dev Summit 2020!)

00:37

為2020年TensorFlow開發峰會做好準備! (Get ready for TensorFlow Dev Summit 2020!)

4

MLIR：用編譯器加速TF的發展（TF開發峰會'20) (MLIR: Accelerating TF with compilers (TF Dev Summit '20))

10:19

MLIR：用編譯器加速TF的發展（TF開發峰會'20) (MLIR: Accelerating TF with compilers (TF Dev Summit '20))

1

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))

4

如何向Wikidata捐贈數據 (How to Donate Data to Wikidata)

02:46

如何向Wikidata捐贈數據 (How to Donate Data to Wikidata)

12

中文 B1 中級

沒有博士學位的TensorFlow和深度學習，第二部分（Google Cloud Next '17）。 (TensorFlow and Deep Learning without a PhD, Part 2 (Google Cloud Next '17))

56:06

沒有博士學位的TensorFlow和深度學習，第二部分（Google Cloud Next '17）。 (TensorFlow and Deep Learning without a PhD, Part 2 (Google Cloud Next '17))

235

TensorFlow開發峰會2019亮點#機器學習 (TensorFlow Dev Summit 2019 Highlights #MachineLearning)

01:37

TensorFlow開發峰會2019亮點#機器學習 (TensorFlow Dev Summit 2019 Highlights #MachineLearning)

11

TF-Agents:強化學習(TensorFlow Meet) (TF-Agents: Reinforcement Learning (TensorFlow Meets))

04:49

TF-Agents:強化學習(TensorFlow Meet) (TF-Agents: Reinforcement Learning (TensorFlow Meets))

4

訓練模式--海利特二期2017年人工智能大賽第6頁 (Training Model - Halite II 2017 Artificial Intelligence Competition p.6)

18:52

訓練模式--海利特二期2017年人工智能大賽第6頁 (Training Model - Halite II 2017 Artificial Intelligence Competition p.6)

2

TensorFlow與Laurence和他的大腦相遇(TensorFlow相遇) (TensorFlow Meets with Laurence and his brain (TensorFlow Meets))

00:27

TensorFlow與Laurence和他的大腦相遇(TensorFlow相遇) (TensorFlow Meets with Laurence and his brain (TensorFlow Meets))

5

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

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

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

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

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

介紹 - 用Python和Pytorch進行深度學習和神經網絡 p.1 (Introduction - Deep Learning and Neural Networks with Python and Pytorch p.1)

24:49

介紹 - 用Python和Pytorch進行深度學習和神經網絡 p.1 (Introduction - Deep Learning and Neural Networks with Python and Pytorch p.1)

9

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

開始使用Google Colaboratory（編碼TensorFlow）。 (Get started with Google Colaboratory (Coding TensorFlow))

03:10

開始使用Google Colaboratory（編碼TensorFlow）。 (Get started with Google Colaboratory (Coding TensorFlow))

2

來自世界各地的優秀TensorFlow研究雲項目(TF World '19) (Great TensorFlow Research Cloud projects from around the world (TF World '19))

33:35

來自世界各地的優秀TensorFlow研究雲項目(TF World '19) (Great TensorFlow Research Cloud projects from around the world (TF World '19))

4

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

構建一個神經網絡來運行分類（葡萄牙語編碼TensorFlow）。 (Construa uma rede neural para executar a classificação (Coding TensorFlow em português))

07:31

構建一個神經網絡來運行分類（葡萄牙語編碼TensorFlow）。 (Construa uma rede neural para executar a classificação (Coding TensorFlow em português))

4

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

雲計算中的分佈式培訓 (Distributed Training in the Cloud)

04:45

雲計算中的分佈式培訓 (Distributed Training in the Cloud)

27

準備你的機器學習數據集（葡萄牙語編碼TensorFlow）。 (Prepare o seu conjunto de dados para machine learning (Coding TensorFlow em português))

07:27

準備你的機器學習數據集（葡萄牙語編碼TensorFlow）。 (Prepare o seu conjunto de dados para machine learning (Coding TensorFlow em português))

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

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

利用高性能計算進行基礎科學的深度學習（O'Reilly AI Conference）。 (Deep learning for fundamental sciences using high-performance computing (O’Reilly AI Conference))

26:36

利用高性能計算進行基礎科學的深度學習（O'Reilly AI Conference）。 (Deep learning for fundamental sciences using high-performance computing (O’Reilly AI Conference))

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

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

基礎計算機視覺與ML(ML Zero to Hero，第二部分) (Basic Computer Vision with ML (ML Zero to Hero, part 2))

07:24

基礎計算機視覺與ML(ML Zero to Hero，第二部分) (Basic Computer Vision with ML (ML Zero to Hero, part 2))

1

2020年如何成為商業智能分析師 (How to Become a Business Intelligence Analyst in 2020)

08:44

2020年如何成為商業智能分析師 (How to Become a Business Intelligence Analyst in 2020)

10