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

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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))

1

介紹TensorFlow 2.0及其高級API（TF Dev Summit '19）。 (Introducing TensorFlow 2.0 and its high-level APIs (TF Dev Summit '19))

22:21

介紹TensorFlow 2.0及其高級API（TF Dev Summit '19）。 (Introducing TensorFlow 2.0 and its high-level APIs (TF Dev Summit '19))

203

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

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

TensorFlow企業版。用谷歌雲實現TensorFlow的生產化 (TF Dev Summit '20) (TensorFlow Enterprise: Productionizing TensorFlow with Google Cloud (TF Dev Summit '20))

10:25

TensorFlow企業版。用谷歌雲實現TensorFlow的生產化 (TF Dev Summit '20) (TensorFlow Enterprise: Productionizing TensorFlow with Google Cloud (TF Dev Summit '20))

3

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

雲端AI平臺上的分佈式TensorFlow模型訓練（TF Dev Summit '20）。 (Distributed TensorFlow model training on Cloud AI Platform (TF Dev Summit '20))

14:21

雲端AI平臺上的分佈式TensorFlow模型訓練（TF Dev Summit '20）。 (Distributed TensorFlow model training on Cloud AI Platform (TF Dev Summit '20))

2

TensorFlow Extended（TFX）（2018年TensorFlow發展峰會）。 (TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018))

26:01

TensorFlow Extended（TFX）（2018年TensorFlow發展峰會）。 (TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018))

1

將TensorFlow 2模型擴展到多工作站GPU（TF Dev Summit '20）。 (Scaling TensorFlow 2 models to multi-worker GPUs (TF Dev Summit '20))

16:15

將TensorFlow 2模型擴展到多工作站GPU（TF Dev Summit '20）。 (Scaling TensorFlow 2 models to multi-worker GPUs (TF Dev Summit '20))

2

宣佈TensorFlow 2.0 (Announcing TensorFlow 2.0)

04:10

宣佈TensorFlow 2.0 (Announcing TensorFlow 2.0)

3

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))

2

分佈式TensorFlow (TensorFlow @ O'Reilly AI Conference, San Francisco '18) (Distributed TensorFlow (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

32:53

分佈式TensorFlow (TensorFlow @ O'Reilly AI Conference, San Francisco '18) (Distributed TensorFlow (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

4

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

37:31

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

2

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

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)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

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

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

TensorFlow開發峰會2019生活流 (TensorFlow Dev Summit 2019 Livestream)

541:44

TensorFlow開發峰會2019生活流 (TensorFlow Dev Summit 2019 Livestream)

6

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

TensorFlow Extended (TFX) & Hub (TensorFlow @ O Reilly AI Conference, San Francisco '18) (TensorFlow Extended (TFX) & Hub (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

41:41

TensorFlow Extended (TFX) & Hub (TensorFlow @ O Reilly AI Conference, San Francisco '18) (TensorFlow Extended (TFX) & Hub (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

2

TensorFlow Lite for on-device ML (TensorFlow Meets) (TensorFlow Lite for on-device ML (TensorFlow Meets))

07:24

TensorFlow Lite for on-device ML (TensorFlow Meets) (TensorFlow Lite for on-device ML (TensorFlow Meets))

2

TensorFlow高級API。第3部分 - 構建和完善你的模型 (TensorFlow high-level APIs: Part 3 - Building and refining your models)

07:26

TensorFlow高級API。第3部分 - 構建和完善你的模型 (TensorFlow high-level APIs: Part 3 - Building and refining your models)

2

用Python訓練模型並加載到TensorFlow.js中 - TensorFlow.js p.4 (Training model in Python and Loading into TensorFlow.js - TensorFlow.js p.4)

19:54

用Python訓練模型並加載到TensorFlow.js中 - TensorFlow.js p.4 (Training model in Python and Loading into TensorFlow.js - TensorFlow.js p.4)

2

Mesh-TensorFlow：超級計算機的模型並行性(TF Dev Summit '19) (Mesh-TensorFlow: Model Parallelism for Supercomputers (TF Dev Summit ‘19))

15:14

Mesh-TensorFlow：超級計算機的模型並行性(TF Dev Summit '19) (Mesh-TensorFlow: Model Parallelism for Supercomputers (TF Dev Summit ‘19))

2

訓練模型--用深度學習、Python和TensorFlow創建哈拉機器人 p.7 (Training a Model - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.7)

17:21

訓練模型--用深度學習、Python和TensorFlow創建哈拉機器人 p.7 (Training a Model - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.7)

2

TensorFlow開發峰會2018 - Livestream (TensorFlow Dev Summit 2018 - Livestream)

478:22

TensorFlow開發峰會2018 - Livestream (TensorFlow Dev Summit 2018 - Livestream)

5

TensorFlow開發峰會2020主題演講 (TensorFlow Dev Summit 2020 Keynote)

31:12

TensorFlow開發峰會2020主題演講 (TensorFlow Dev Summit 2020 Keynote)

1

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)

6

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))

1

TensorFlow模型優化。量化和修剪(TF World'19) (TensorFlow model optimization: Quantization and pruning (TF World '19))

40:50

TensorFlow模型優化。量化和修剪(TF World'19) (TensorFlow model optimization: Quantization and pruning (TF World '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

用TensorFlow構建AI：概述（TensorFlow @ O'Reilly AI大會，舊金山'18）。 (Building AI with TensorFlow: An Overview (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

42:53

用TensorFlow構建AI：概述（TensorFlow @ O'Reilly AI大會，舊金山'18）。 (Building AI with TensorFlow: An Overview (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

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))

2

TensorFlow開發峰會2019主題演講 (TensorFlow Dev Summit 2019 Keynote)

31:43

TensorFlow開發峰會2019主題演講 (TensorFlow Dev Summit 2019 Keynote)

3

TensorFlow在生產中。TF Extended、TF Hub和TF Serving (Google I/O '18) (TensorFlow in production: TF Extended, TF Hub, and TF Serving (Google I/O '18))

36:49

TensorFlow在生產中。TF Extended、TF Hub和TF Serving (Google I/O '18) (TensorFlow in production: TF Extended, TF Hub, and TF Serving (Google I/O '18))

4

TensorFlow World 2019 | 第2天生活流 PM (TensorFlow World 2019 | Day 2 Livestream PM)

260:18

TensorFlow World 2019 | 第2天生活流 PM (TensorFlow World 2019 | Day 2 Livestream PM)

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

TensorFlow Hub：重用機器學習模塊(TensorFlow Meets) (TensorFlow Hub: reusing machine learning modules (TensorFlow Meets))

04:50

TensorFlow Hub：重用機器學習模塊(TensorFlow Meets) (TensorFlow Hub: reusing machine learning modules (TensorFlow Meets))

2

用PyCharm IDE為你的TensorFlow項目排憂解難（TensorFlow一週小貼士）。 (De-bug your TensorFlow projects with the PyCharm IDE (TensorFlow Tip of the Week))

03:12

用PyCharm IDE為你的TensorFlow項目排憂解難（TensorFlow一週小貼士）。 (De-bug your TensorFlow projects with the PyCharm IDE (TensorFlow Tip of the Week))

5

TF World '19中的TensorFlow有哪些新內容？ (What’s new in TensorFlow from TF World ‘19)

05:12

TF World '19中的TensorFlow有哪些新內容？ (What’s new in TensorFlow from TF World ‘19)

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

回答你最新的TensorFlow問題#AskTensorFlow (Answering your latest TensorFlow questions! #AskTensorFlow)

11:56

回答你最新的TensorFlow問題#AskTensorFlow (Answering your latest TensorFlow questions! #AskTensorFlow)

3

TensorFlow 2.0入門 (Google I/O'19) (Getting Started with TensorFlow 2.0 (Google I/O'19))

31:48

TensorFlow 2.0入門 (Google I/O'19) (Getting Started with TensorFlow 2.0 (Google I/O'19))

2

TensorFlow World 2019主題演講 (TensorFlow World 2019 Keynote)

76:41

TensorFlow World 2019主題演講 (TensorFlow World 2019 Keynote)

3

TensorFlow高級API。第二部分--深入研究數據和特性 (TensorFlow high-level APIs: Part 2 - going deep on data and features)

05:09

TensorFlow高級API。第二部分--深入研究數據和特性 (TensorFlow high-level APIs: Part 2 - going deep on data and features)

2