1,486 個「 tensorflow improvements 」的搜尋結果

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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

用TF.Learn分類手寫數字--機器學習食譜#7。 (Classifying Handwritten Digits with TF.Learn - Machine Learning Recipes #7)

07:01

用TF.Learn分類手寫數字--機器學習食譜#7。 (Classifying Handwritten Digits with TF.Learn - Machine Learning Recipes #7)

21

Edge TPU現場演示。珊瑚開發板和微控制器 (TF開發峰會'19) (Edge TPU live demo: Coral Dev Board & Microcontrollers (TF Dev Summit '19))

15:53

Edge TPU現場演示。珊瑚開發板和微控制器 (TF開發峰會'19) (Edge TPU live demo: Coral Dev Board & Microcontrollers (TF Dev Summit '19))

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

邁克爾-波蒂略介紹的新型高科技列車--地鐵改進措施 (Our new hi-tech trains introduced by Michael Portillo - Tube improvements)

02:18

邁克爾-波蒂略介紹的新型高科技列車--地鐵改進措施 (Our new hi-tech trains introduced by Michael Portillo - Tube improvements)

197

分析模型改進--深度學習在Halite AI大賽中的應用第7頁 (Analyzing model improvements - Deep Learning in Halite AI competition p.7)

16:52

分析模型改進--深度學習在Halite AI大賽中的應用第7頁 (Analyzing model improvements - Deep Learning in Halite AI competition p.7)

3

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

一熱編碼的演示（TensorFlow一週小技巧）。 (A demo of One Hot Encoding (TensorFlow Tip of the Week))

04:33

一熱編碼的演示（TensorFlow一週小技巧）。 (A demo of One Hot Encoding (TensorFlow Tip of the Week))

6

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

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

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

拯救生命的AI和JavaScript｜安在文｜JSConf Korea 2019(en sub) (Lifesaving AI and JavaScript | Jaeman An | JSConf Korea 2019(en sub))

24:56

拯救生命的AI和JavaScript｜安在文｜JSConf Korea 2019(en sub) (Lifesaving AI and JavaScript | Jaeman An | JSConf Korea 2019(en sub))

3

數據結構--用深度學習、Python和TensorFlow創建哈拉機器人 p.2 (Data Structure - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.2)

09:48

數據結構--用深度學習、Python和TensorFlow創建哈拉機器人 p.2 (Data Structure - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.2)

2

平衡RNN序列數據--深度學習/Python、TensorFlow和Keras p.10 (Balancing RNN sequence data - Deep Learning w/ Python, TensorFlow and Keras p.10)

07:20

平衡RNN序列數據--深度學習/Python、TensorFlow和Keras p.10 (Balancing RNN sequence data - Deep Learning w/ Python, TensorFlow and Keras p.10)

1

如何不讀懂這個房間。創建社交尷尬的可穿戴設備，作者：Stephanie Nemeth | JSConf BP 2019。 (How not to read the room: Creating socially awkward wearables by Stephanie Nemeth | JSConf BP 2019)

26:35

如何不讀懂這個房間。創建社交尷尬的可穿戴設備，作者：Stephanie Nemeth | JSConf BP 2019。 (How not to read the room: Creating socially awkward wearables by Stephanie Nemeth | JSConf BP 2019)

1

亞洲有希望改善，而歐洲則繼續與COVID-19作戰 (Promising improvements in Asia while Europe continues to battle COVID-19 | Nightline)

09:25

亞洲有希望改善，而歐洲則繼續與COVID-19作戰 (Promising improvements in Asia while Europe continues to battle COVID-19 | Nightline)

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

Sentdex與對象檢測 - Charles 2.0部分。2 (Sentdex vs Object Detection - Charles 2.0 part. 2)

19:01

Sentdex與對象檢測 - Charles 2.0部分。2 (Sentdex vs Object Detection - Charles 2.0 part. 2)

構建數據庫--用深度學習、Python和TensorFlow創建哈拉機器人 p.5 (Building Database - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.5)

18:57

構建數據庫--用深度學習、Python和TensorFlow創建哈拉機器人 p.5 (Building Database - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.5)

9

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

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

緩衝數據集--用深度學習、Python和TensorFlow創建哈拉機器人 p.3 (Buffering dataset - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.3)

11:37

緩衝數據集--用深度學習、Python和TensorFlow創建哈拉機器人 p.3 (Buffering dataset - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.3)

10

與TFLite代表一起加速模型（TF開發峰會'20）。 (Accelerate models with TFLite Delegates (TF Dev Summit '20))

15:20

與TFLite代表一起加速模型（TF開發峰會'20）。 (Accelerate models with TFLite Delegates (TF Dev Summit '20))

4

Jeff Dean在TF World '19（TensorFlow Meets）上討論機器學習的未來。 (Jeff Dean discusses the future of machine learning at TF World ‘19 (TensorFlow Meets))

07:21

Jeff Dean在TF World '19（TensorFlow Meets）上討論機器學習的未來。 (Jeff Dean discusses the future of machine learning at TF World ‘19 (TensorFlow Meets))

2

08:11

神經網路

8

TF Lite Lens (TF Dev Summit '20) (TF Lite Lens (TF Dev Summit '20))

07:44

TF Lite Lens (TF Dev Summit '20) (TF Lite Lens (TF Dev Summit '20))

2

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

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

在Codice Ratio。梵蒂岡祕密檔案中的機器轉錄(TF Dev Summit '19) (In Codice Ratio: Machine Transcription in the Vatican Secret Archive (TF Dev Summit '19))

11:22

在Codice Ratio。梵蒂岡祕密檔案中的機器轉錄(TF Dev Summit '19) (In Codice Ratio: Machine Transcription in the Vatican Secret Archive (TF Dev Summit '19))

9

通過ML實現超聲的民主化（TF Dev Summit '19）。 (Democratizing Ultrasound via ML (TF Dev Summit '19))

05:15

通過ML實現超聲的民主化（TF Dev Summit '19）。 (Democratizing Ultrasound via ML (TF Dev Summit '19))

2

構建神經網絡來執行分類 - 第3集 (Construya una red neuronal para realizar la clasificación - Episodio 3)

08:19

構建神經網絡來執行分類 - 第3集 (Construya una red neuronal para realizar la clasificación - Episodio 3)

2

瑜伽姿勢--安迪-魯伊斯托和布萊恩-多諾萬--美國2019年JSConf。 (Yoga Pose - Andy Ruestow & Bryan Donovan - JSConf US 2019)

25:48

瑜伽姿勢--安迪-魯伊斯托和布萊恩-多諾萬--美國2019年JSConf。 (Yoga Pose - Andy Ruestow & Bryan Donovan - JSConf US 2019)

3

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.js:網絡和其他領域的ML(TF Dev Summit '20) (TensorFlow.js: ML for the web and beyond (TF Dev Summit '20))

11:15

TensorFlow.js:網絡和其他領域的ML(TF Dev Summit '20) (TensorFlow.js: ML for the web and beyond (TF Dev Summit '20))

1

確定插入--用深度學習、Python和TensorFlow創建一個哈拉機器人第4頁。 (Determining insert - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.4)

07:48

確定插入--用深度學習、Python和TensorFlow創建一個哈拉機器人第4頁。 (Determining insert - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.4)

2

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

文藝復興六》--初見。建設者 (CIVILIZATION VI - First Look: Builders)

01:45

文藝復興六》--初見。建設者 (CIVILIZATION VI - First Look: Builders)

19

中文 B2 中高級

使用HFK的基本計算機視覺（HFK Zero to Hero，第二部分）。 (Computer vision básica con ML (ML Zero to Hero, parte 2))

06:20

使用HFK的基本計算機視覺（HFK Zero to Hero，第二部分）。 (Computer vision básica con ML (ML Zero to Hero, parte 2))

6

與我們的哈拉機器人互動--用深度學習、Python和TensorFlow創建哈拉機器人 p.9 (Interacting with our Chatbot - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.9)

20:31

與我們的哈拉機器人互動--用深度學習、Python和TensorFlow創建哈拉機器人 p.9 (Interacting with our Chatbot - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.9)

4

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

TensorBoard (TF Dev Summit '20) (TensorBoard (TF Dev Summit '20))

03:34

TensorBoard (TF Dev Summit '20) (TensorBoard (TF Dev Summit '20))

4

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

機器學習的公平性。經驗教訓(Google I/O'19) (Machine Learning Fairness: Lessons Learned (Google I/O'19))

36:23

機器學習的公平性。經驗教訓(Google I/O'19) (Machine Learning Fairness: Lessons Learned (Google I/O'19))

10

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

為機器學習準備你的數據集 - 第2集 (Prepare su conjunto de datos para el aprendizaje automático - Episodio 2)

08:00

為機器學習準備你的數據集 - 第2集 (Prepare su conjunto de datos para el aprendizaje automático - Episodio 2)

3

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