10,000 個「 tensorflow model training 」的搜尋結果

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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

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)

2

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

Jetson Nano review and Object Detection ft.TensorRT (Jetson Nano review and Object Detection ft. TensorRT)

10:28

Jetson Nano review and Object Detection ft.TensorRT (Jetson Nano review and Object Detection ft. TensorRT)

6

感知型深度學習研究（TensorFlow遇見了 (Affective Deep Learning Research (TensorFlow Meets))

08:02

感知型深度學習研究（TensorFlow遇見了 (Affective Deep Learning Research (TensorFlow Meets))

1

7.10：TensorFlow.js顏色分類器。訓練模型 (7.10: TensorFlow.js Color Classifier: Training the Model)

13:34

7.10：TensorFlow.js顏色分類器。訓練模型 (7.10: TensorFlow.js Color Classifier: Training the Model)

3

為大家打造一個可持續發展的開源機器學習平臺（TensorFlow遇見）。 (Building a sustainable, open source machine learning platform for everyone (TensorFlow Meets))

08:13

為大家打造一個可持續發展的開源機器學習平臺（TensorFlow遇見）。 (Building a sustainable, open source machine learning platform for everyone (TensorFlow Meets))

2

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)

1

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

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

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

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

03:34

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

4

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

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

遊戲開發者的機器學習(Google I/O'19) (Machine Learning for Game Developers (Google I/O'19))

32:20

遊戲開發者的機器學習(Google I/O'19) (Machine Learning for Game Developers (Google I/O'19))

2

查看數據--海立AI大賽中的深度學習第4頁 (Checking out Data - Deep Learning in Halite AI competition p.4)

25:04

查看數據--海立AI大賽中的深度學習第4頁 (Checking out Data - Deep Learning in Halite AI competition p.4)

2

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

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

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))

4

TensorFlow內部：摘要和TensorBoard (Inside TensorFlow: Summaries and TensorBoard)

43:23

TensorFlow內部：摘要和TensorBoard (Inside TensorFlow: Summaries and TensorBoard)

1

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

部署模式--海利特二期2017年人工智能大賽第7頁 (Deploying Model - Halite II 2017 Artificial Intelligence Competition p.7)

18:23

部署模式--海利特二期2017年人工智能大賽第7頁 (Deploying Model - Halite II 2017 Artificial Intelligence Competition p.7)

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

用Colab中的TensorFlow在4分鐘內構建一個深度神經網絡。 (Build a deep neural network in 4 mins with TensorFlow in Colab)

03:54

用Colab中的TensorFlow在4分鐘內構建一個深度神經網絡。 (Build a deep neural network in 4 mins with TensorFlow in Colab)

2

2019年穀歌I/O大會上的ML與AI沙盒演示。 (ML & AI sandbox demos at Google I/O 2019)

02:44

2019年穀歌I/O大會上的ML與AI沙盒演示。 (ML & AI sandbox demos at Google I/O 2019)

4

構建神經網絡模型--《星際爭霸II》中的Python AI教程第10頁 (Building Neural Network Model - Python AI in StarCraft II tutorial p.10)

13:37

構建神經網絡模型--《星際爭霸II》中的Python AI教程第10頁 (Building Neural Network Model - Python AI in StarCraft II tutorial p.10)

3

TF 2中的性能剖析（TF開發峰會'20) (Performance profiling in TF 2 (TF Dev Summit '20))

09:47

TF 2中的性能剖析（TF開發峰會'20) (Performance profiling in TF 2 (TF Dev Summit '20))

5

可差異化的凸優化層（TF Dev Summit '20）。 (Differentiable convex optimization layers (TF Dev Summit '20))

09:20

可差異化的凸優化層（TF Dev Summit '20）。 (Differentiable convex optimization layers (TF Dev Summit '20))

2

使用Nabil Hassein的Spell生成文本。 (Text Generation using Spell with Nabil Hassein)

58:31

使用Nabil Hassein的Spell生成文本。 (Text Generation using Spell with Nabil Hassein)

1

前端開發的機器學習，查理-傑拉德｜JSConf.Asia 2019年。 (Machine Learning for Front-End Developers by Charlie Gerard | JSConf.Asia 2019)

34:05

前端開發的機器學習，查理-傑拉德｜JSConf.Asia 2019年。 (Machine Learning for Front-End Developers by Charlie Gerard | JSConf.Asia 2019)

3

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

NLP的長短期記憶（NLP零到英雄-第五部分 (Long Short-Term Memory for NLP (NLP Zero to Hero - Part 5))

04:10

NLP的長短期記憶（NLP零到英雄-第五部分 (Long Short-Term Memory for NLP (NLP Zero to Hero - Part 5))

3

使用機器學習改善UI/UX--Milecia McGregor | JSConf Hawaii 2020 (Using Machine Learning to Improve UI/UX - Milecia McGregor | JSConf Hawaii 2020)

21:59

使用機器學習改善UI/UX--Milecia McGregor | JSConf Hawaii 2020 (Using Machine Learning to Improve UI/UX - Milecia McGregor | JSConf Hawaii 2020)

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

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

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

Inside TensorFlow：急切的執行運行時。 (Inside TensorFlow: Eager execution runtime)

45:11

Inside TensorFlow：急切的執行運行時。 (Inside TensorFlow: Eager execution runtime)

2

查爾斯2.0的變化 - Python玩GTA V - 自動駕駛汽車 (Charles 2.0 going over changes - Python Plays GTA V - Self-driving Car)

15:23

查爾斯2.0的變化 - Python玩GTA V - 自動駕駛汽車 (Charles 2.0 going over changes - Python Plays GTA V - Self-driving Car)

4

運行我們的強化學習代理--用卡拉和Python實現自動駕駛汽車 p.5 (Running our Reinforcement Learning Agent - Self-driving cars with Carla and Python p.5)

39:36

運行我們的強化學習代理--用卡拉和Python實現自動駕駛汽車 p.5 (Running our Reinforcement Learning Agent - Self-driving cars with Carla and Python p.5)

2

量子神經網絡的層智學習（TF Dev Summit '20）。 (Layer-wise learning for quantum neural networks (TF Dev Summit '20))

05:11

量子神經網絡的層智學習（TF Dev Summit '20）。 (Layer-wise learning for quantum neural networks (TF Dev Summit '20))

3

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

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

機器學習的7個步驟 (The 7 Steps of Machine Learning)

10:36

機器學習的7個步驟 (The 7 Steps of Machine Learning)

133

構建影像分類器(法語編碼TensorFlow) (Construire un classifieur d'images (Coding TensorFlow en français))

05:42

構建影像分類器(法語編碼TensorFlow) (Construire un classifieur d'images (Coding TensorFlow en français))

2

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

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