10,000 個「 quantization aware training support in keras 」的搜尋結果

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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))

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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))

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

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

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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))

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回答你的TF Lite問題以及更多(#AskTensorFlow) (Answering your TF Lite questions and more! (#AskTensorFlow))

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回答你的TF Lite問題以及更多(#AskTensorFlow) (Answering your TF Lite questions and more! (#AskTensorFlow))

2

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

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

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

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

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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))

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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))

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

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

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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

使用tf.data、tf.function和tf.distribution在TensorFlow 2中建立高性能、可擴展的模型 (TF World '19) (Performant, scalable models in TensorFlow 2 with tf.data, tf.function & tf.distribute (TF World '19))

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使用tf.data、tf.function和tf.distribution在TensorFlow 2中建立高性能、可擴展的模型 (TF World '19) (Performant, scalable models in TensorFlow 2 with tf.data, tf.function & tf.distribute (TF World '19))

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TensorFlow 2.0升級，Python支持，以及更多！ (#AskTensorFlow)(#AskTensorFlow) (TensorFlow 2.0 upgrade, Python support, & more! (#AskTensorFlow))

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TensorFlow 2.0升級，Python支持，以及更多！ (#AskTensorFlow)(#AskTensorFlow) (TensorFlow 2.0 upgrade, Python support, & more! (#AskTensorFlow))

2

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

TensorFlow Lite:在設備上運行ML的解決方案 (TF World '19) (TensorFlow Lite: Solution for running ML on-device (TF World '19))

33:43

TensorFlow Lite:在設備上運行ML的解決方案 (TF World '19) (TensorFlow Lite: Solution for running ML on-device (TF World '19))

2

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))

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

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

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08:11

神經網路

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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

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

TensorFlow 2.0和Keras (#AskTensorFlow) (TensorFlow 2.0 and Keras (#AskTensorFlow))

05:23

TensorFlow 2.0和Keras (#AskTensorFlow) (TensorFlow 2.0 and Keras (#AskTensorFlow))

1

用TensorFlow和Keras學習閱讀(TF Dev Summit '20) (Learning to read with TensorFlow and Keras (TF Dev Summit '20))

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用TensorFlow和Keras學習閱讀(TF Dev Summit '20) (Learning to read with TensorFlow and Keras (TF Dev Summit '20))

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為Keras快速獲取CSV到數據集中（TensorFlow本週小技巧）。 (Quickly get CSV into datasets for Keras (TensorFlow Tip of the Week))

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為Keras快速獲取CSV到數據集中（TensorFlow本週小技巧）。 (Quickly get CSV into datasets for Keras (TensorFlow Tip of the Week))

3

TensorFlow內部：tf.Keras(第1部分) (Inside TensorFlow: tf.Keras (part 1))

53:37

TensorFlow內部：tf.Keras(第1部分) (Inside TensorFlow: tf.Keras (part 1))

7

TensorFlow內部：tf.distribution.Strategy。 (Inside TensorFlow: tf.distribute.Strategy)

54:33

TensorFlow內部：tf.distribution.Strategy。 (Inside TensorFlow: tf.distribute.Strategy)

4

TensorFlow.js (TensorFlow Meets) (TensorFlow.js (TensorFlow Meets))

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TensorFlow.js (TensorFlow Meets) (TensorFlow.js (TensorFlow Meets))

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神經結構化學習--第二部分：用自然圖訓練 (Neural Structured Learning - Part 2: Training with natural graphs)

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神經結構化學習--第二部分：用自然圖訓練 (Neural Structured Learning - Part 2: Training with natural graphs)

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TensorFlow for JavaScript (TensorFlow @ O'Reilly AI Conference, San Francisco '18) (TensorFlow for JavaScript (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

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TensorFlow for JavaScript (TensorFlow @ O'Reilly AI Conference, San Francisco '18) (TensorFlow for JavaScript (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

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深度學習框架對比 (Deep Learning Frameworks Compared)

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深度學習框架對比 (Deep Learning Frameworks Compared)

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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)

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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

TensorFlow Lite:移動和物聯網設備的ML（TF Dev Summit '20）。 (TensorFlow Lite: ML for mobile and IoT devices (TF Dev Summit '20))

14:40

TensorFlow Lite:移動和物聯網設備的ML（TF Dev Summit '20）。 (TensorFlow Lite: ML for mobile and IoT devices (TF Dev Summit '20))

4

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 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

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

在訓練中使用回調，在TF 2.0中入門，以及更多！(#AskTensorFlow)(#AskTensorFlow) (Using callbacks in training, getting started in TF 2.0, & more! (#AskTensorFlow))

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在訓練中使用回調，在TF 2.0中入門，以及更多！(#AskTensorFlow)(#AskTensorFlow) (Using callbacks in training, getting started in TF 2.0, & more! (#AskTensorFlow))

3

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

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

2

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))

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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

神經結構化學習--第3部分：用合成圖訓練 (Neural Structured Learning - Part 3: Training with synthesized graphs)

05:16

神經結構化學習--第3部分：用合成圖訓練 (Neural Structured Learning - Part 3: Training with synthesized graphs)

4

TensorFlow 2.0介紹。對初學者來說更容易，對專家來說更強大 (TF World '19) (Introduction to TensorFlow 2.0: Easier for beginners, and more powerful for experts (TF World '19))

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TensorFlow 2.0介紹。對初學者來說更容易，對專家來說更強大 (TF World '19) (Introduction to TensorFlow 2.0: Easier for beginners, and more powerful for experts (TF World '19))

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如何在你的ML項目中利用GPU和TPU（Coding TensorFlow）。 (How to take advantage of GPUs and TPUs for your ML project (Coding TensorFlow))

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如何在你的ML項目中利用GPU和TPU（Coding TensorFlow）。 (How to take advantage of GPUs and TPUs for your ML project (Coding TensorFlow))

4

在TensorFlow中使用GPU，在筆記本中使用TensorBoard，尋找新的數據集，等等(#AskTensorFlow) (Using GPUs in TensorFlow, TensorBoard in notebooks, finding new datasets, & more! (#AskTensorFlow))

12:56

在TensorFlow中使用GPU，在筆記本中使用TensorBoard，尋找新的數據集，等等(#AskTensorFlow) (Using GPUs in TensorFlow, TensorBoard in notebooks, finding new datasets, & more! (#AskTensorFlow))

2

TFX:2020年用TensorFlow生產ML（TF Dev Summit '20）。 (TFX: Production ML with TensorFlow in 2020 (TF Dev Summit '20))

24:22

TFX:2020年用TensorFlow生產ML（TF Dev Summit '20）。 (TFX: Production ML with TensorFlow in 2020 (TF Dev Summit '20))

2

Inside TensorFlow: tf.Keras (part 2) (Inside TensorFlow: tf.Keras (part 2))

51:34

Inside TensorFlow: tf.Keras (part 2) (Inside TensorFlow: tf.Keras (part 2))

5

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))

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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))

1

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

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

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和R中的Keras--Josh Gordon與J.J. Allaire會面（TensorFlow會面）。 (TensorFlow and Keras in R - Josh Gordon meets with J.J. Allaire (TensorFlow Meets))

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TensorFlow和R中的Keras--Josh Gordon與J.J. Allaire會面（TensorFlow會面）。 (TensorFlow and Keras in R - Josh Gordon meets with J.J. Allaire (TensorFlow Meets))

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