10,000 個「 neural structured learning in TensorFlow 」的搜尋結果

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自然語言處理--標記化（NLP從零到英雄，第1部分 (Natural Language Processing - Tokenization (NLP Zero to Hero, part 1))

04:39

自然語言處理--標記化（NLP從零到英雄，第1部分 (Natural Language Processing - Tokenization (NLP Zero to Hero, part 1))

6

TensorFlow Extended (TF Dev Summit '20) (TensorFlow Extended (TF Dev Summit '20))

06:02

TensorFlow Extended (TF Dev Summit '20) (TensorFlow Extended (TF Dev Summit '20))

4

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

聯邦學習。分散數據的機器學習(Google I/O'19) (Federated Learning: Machine Learning on Decentralized Data (Google I/O'19))

41:11

聯邦學習。分散數據的機器學習(Google I/O'19) (Federated Learning: Machine Learning on Decentralized Data (Google I/O'19))

4

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

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

參與到TF社區中來 (TF開發峰會'20) (Getting involved in the TF community (TF Dev Summit '20))

09:25

參與到TF社區中來 (TF開發峰會'20) (Getting involved in the TF community (TF Dev Summit '20))

2

分佈式處理和組件(TensorFlow Extended) (Distributed Processing and Components (TensorFlow Extended))

11:48

分佈式處理和組件(TensorFlow Extended) (Distributed Processing and Components (TensorFlow Extended))

6

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

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

雷諾鑫｜火花峰會2017 (Reynold Xin | Spark Summit 2017)

15:03

雷諾鑫｜火花峰會2017 (Reynold Xin | Spark Summit 2017)

115

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))

1

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

加密貨幣預測RNN模型--深度學習與Python、TensorFlow和Keras p.11。 (Cryptocurrency-predicting RNN Model - Deep Learning w/ Python, TensorFlow and Keras p.11)

23:06

加密貨幣預測RNN模型--深度學習與Python、TensorFlow和Keras p.11。 (Cryptocurrency-predicting RNN Model - Deep Learning w/ Python, TensorFlow and Keras p.11)

4

第1課：編碼人員的實用深度學習 (Lesson 1: Practical Deep Learning for Coders)

98:46

第1課：編碼人員的實用深度學習 (Lesson 1: Practical Deep Learning for Coders)

504

編碼Tensorflow - 第1集 (Coding Tensorflow en Español - Episodio 1)

08:51

編碼Tensorflow - 第1集 (Coding Tensorflow en Español - Episodio 1)

4

大規模機器學習 (Large Scale Machine Learning)

36:10

大規模機器學習 (Large Scale Machine Learning)

209

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

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

TensorFlow Lite，實驗性GPU代表（編碼TensorFlow）。 (TensorFlow Lite, Experimental GPU Delegate (Coding TensorFlow))

03:46

TensorFlow Lite，實驗性GPU代表（編碼TensorFlow）。 (TensorFlow Lite, Experimental GPU Delegate (Coding TensorFlow))

5

歸一化和創建序列 Crypto RNN - Deep Learning w/ Python, TensorFlow and Keras p.9 (Normalizing and creating sequences Crypto RNN - Deep Learning w/ Python, TensorFlow and Keras p.9)

19:08

歸一化和創建序列 Crypto RNN - Deep Learning w/ Python, TensorFlow and Keras p.9 (Normalizing and creating sequences Crypto RNN - Deep Learning w/ Python, TensorFlow and Keras p.9)

2

IEI深度學習推理加速卡 (IEI Deep Learning Inference Acceleration Card )

13:27

IEI深度學習推理加速卡 (IEI Deep Learning Inference Acceleration Card )

44

神經網絡。統計速成班#41 (Neural Networks: Crash Course Statistics #41)

12:16

神經網絡。統計速成班#41 (Neural Networks: Crash Course Statistics #41)

2

訓練神經網絡--《星際爭霸II》中的Python AI教程第11頁 (Training Neural Network - Python AI in StarCraft II tutorial p.11)

22:52

訓練神經網絡--《星際爭霸II》中的Python AI教程第11頁 (Training Neural Network - Python AI in StarCraft II tutorial p.11)

3

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

38:27

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

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

Python中的深度強化學習教程--如何實現深度學習的課程論文。 (Deep Reinforcement Learning in Python Tutorial - A Course on How to Implement Deep Learning Papers)

177:11

Python中的深度強化學習教程--如何實現深度學習的課程論文。 (Deep Reinforcement Learning in Python Tutorial - A Course on How to Implement Deep Learning Papers)

2

介紹Google Coral：構建設備上的AI（Google I/O'19）。 (Introducing Google Coral: Building On-Device AI (Google I/O'19))

45:00

介紹Google Coral：構建設備上的AI（Google I/O'19）。 (Introducing Google Coral: Building On-Device AI (Google I/O'19))

3

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

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

Deep Net Performance - Ep.24 (Deep Learning SIMPLIFIED) (Deep Net Performance - Ep. 24 (Deep Learning SIMPLIFIED))

09:07

Deep Net Performance - Ep.24 (Deep Learning SIMPLIFIED) (Deep Net Performance - Ep. 24 (Deep Learning SIMPLIFIED))

94

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

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

瞭解神經網絡 (Understanding neural networks)

03:07

瞭解神經網絡 (Understanding neural networks)

35

班法蘭克林的日常習慣（How Ben Franklin Structured His Day）

08:20

班法蘭克林的日常習慣（How Ben Franklin Structured His Day）

60

機器學習如何被用來幫助拯救世界上的蜜蜂？ (How machine learning is being used to help save the world’s bees)

01:27

機器學習如何被用來幫助拯救世界上的蜜蜂？ (How machine learning is being used to help save the world’s bees)

102

中文 B1 中級

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)

3

ml5.js: 訓練你自己的神經網絡 (ml5.js: Train Your Own Neural Network)

34:49

ml5.js: 訓練你自己的神經網絡 (ml5.js: Train Your Own Neural Network)

1

從原型到生產，輕鬆實現設備上的ML（TF Dev Summit '20）。 (Easy on-device ML from prototype to production (TF Dev Summit '20))

16:30

從原型到生產，輕鬆實現設備上的ML（TF Dev Summit '20）。 (Easy on-device ML from prototype to production (TF Dev Summit '20))

1

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

11.3 使用TensorFlow.js的神經進化Flappy Bird (11.3 Neuroevolution Flappy Bird with TensorFlow.js)

46:20

11.3 使用TensorFlow.js的神經進化Flappy Bird (11.3 Neuroevolution Flappy Bird with TensorFlow.js)

2

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

Magenta項目（2018年TensorFlow發展峰會）。 (Project Magenta (TensorFlow Dev Summit 2018))

13:57

Magenta項目（2018年TensorFlow發展峰會）。 (Project Magenta (TensorFlow Dev Summit 2018))

1

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

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