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112 個「 keras 」的搜尋結果

依關聯性

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))

3

08:11

神經網路

10

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))

6

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

15:36

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

5

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))

01:58

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))

6

利用Keras-Tuner優化神經網絡結構 (Optimizing Neural Network Structures with Keras-Tuner)

28:26

利用Keras-Tuner優化神經網絡結構 (Optimizing Neural Network Structures with Keras-Tuner)

3

第一課：程式設計師的實用深度學習！ (Lesson 1: Practical Deep Learning for Coders)

98:46

第一課：程式設計師的實用深度學習！ (Lesson 1: Practical Deep Learning for Coders)

508

中文 A2 初級

TensorFlow 1與TensorFlow 2：新TF更好嗎？ (TensorFlow 1 vs TensorFlow 2: Is the new TF better?)

02:33

TensorFlow 1與TensorFlow 2：新TF更好嗎？ (TensorFlow 1 vs TensorFlow 2: Is the new TF better?)

3

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))

08:20

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))

1

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

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

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

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)

6

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)

05:12

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)

2

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)

4

TensorFlow 2.0。TensorFlow 2.0：概述 (#AskTensorFlow) (TensorFlow 2.0: An Overview (#AskTensorFlow))

08:57

TensorFlow 2.0。TensorFlow 2.0：概述 (#AskTensorFlow) (TensorFlow 2.0: An Overview (#AskTensorFlow))

3

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

11:51

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

4

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

05:56

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

4

神經結構化學習--第四部分：影像分類的對抗性學習 (Neural Structured Learning - Part 4: Adversarial learning for image classification)

08:06

神經結構化學習--第四部分：影像分類的對抗性學習 (Neural Structured Learning - Part 4: Adversarial learning for image classification)

5

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))

04:24

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))

9

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)

6

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))

4

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

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

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))

6

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

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))

40:56

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))

2

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))

3

尖端TensorFlow：新技術（Google I/O'19) (Cutting Edge TensorFlow: New Techniques (Google I/O'19))

37:32

尖端TensorFlow：新技術（Google I/O'19) (Cutting Edge TensorFlow: New Techniques (Google I/O'19))

5

TensorFlow.jl:TensorFlow世界的Julia前端 (TF Dev Summit '19) (TensorFlow.jl: A Julia Front End to the TensorFlow World (TF Dev Summit '19))

05:27

TensorFlow.jl:TensorFlow世界的Julia前端 (TF Dev Summit '19) (TensorFlow.jl: A Julia Front End to the TensorFlow World (TF Dev Summit '19))

2

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))

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))

13:43

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))

6

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))

8

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)

11

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))

14

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)

5

使用TensorFlow進行研究（TF Dev Summit '20）。 (Research with TensorFlow (TF Dev Summit '20))

16:01

使用TensorFlow進行研究（TF Dev Summit '20）。 (Research with TensorFlow (TF Dev Summit '20))

4

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))

5

TensorFlow Hub:可重用的機器學習（TF Dev Summit '19) (TensorFlow Hub: Reusable Machine Learning (TF Dev Summit '19))

07:36

TensorFlow Hub:可重用的機器學習（TF Dev Summit '19) (TensorFlow Hub: Reusable Machine Learning (TF Dev Summit '19))

3

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

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)

10

TensorFlow Profiler演示 (TF Dev Summit '20) (TensorFlow Profiler demo (TF Dev Summit '20))

07:51

TensorFlow Profiler演示 (TF Dev Summit '20) (TensorFlow Profiler demo (TF Dev Summit '20))

3

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))

4

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

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))

3

機器學習從零到英雄（Google I/O'19) (Machine Learning Zero to Hero (Google I/O'19))

35:33

機器學習從零到英雄（Google I/O'19) (Machine Learning Zero to Hero (Google I/O'19))

9

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