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10,000 個「 tf签名推荐-电报@tflianzhushou🆑tf上架苹果.mgj 」的搜尋結果

依關聯性

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

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

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))

7

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))

3

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))

4

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))

3

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))

2

TensorFlow中的神經結構化學習(TF World '19) (Neural structured learning in TensorFlow (TF World '19))

42:30

TensorFlow中的神經結構化學習(TF World '19) (Neural structured learning in TensorFlow (TF World '19))

2

TensorFlow Federated（TFF）。去中心化數據的機器學習（TF Dev Summit '19) (TensorFlow Federated (TFF): Machine Learning on Decentralized Data (TF Dev Summit ‘19))

13:26

TensorFlow Federated（TFF）。去中心化數據的機器學習（TF Dev Summit '19) (TensorFlow Federated (TFF): Machine Learning on Decentralized Data (TF Dev Summit ‘19))

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))

4

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

TF-Agents.A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19)TensorFlow的靈活強化學習庫（Google I/O'19) (TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19))

39:10

TF-Agents.A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19)TensorFlow的靈活強化學習庫（Google I/O'19) (TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19))

3

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)

2

TensorFlow概率。充滿信心地學習 (TF Dev Summit '19) (TensorFlow Probability: Learning with confidence (TF Dev Summit '19))

13:57

TensorFlow概率。充滿信心地學習 (TF Dev Summit '19) (TensorFlow Probability: Learning with confidence (TF Dev Summit '19))

5

TensorFlow開源社區與合作(TF Dev Summit '19) (TensorFlow Open Source Community And Collaboration (TF Dev Summit '19))

13:24

TensorFlow開源社區與合作(TF Dev Summit '19) (TensorFlow Open Source Community And Collaboration (TF Dev Summit '19))

4

使命召喚現代戰爭 3》結局與祕密結局 COD MWIII 2023 (Call Of Duty Modern Warfare 3 ENDING & Secret Ending COD MWIII 2023)

15:01

使命召喚現代戰爭 3》結局與祕密結局 COD MWIII 2023 (Call Of Duty Modern Warfare 3 ENDING & Secret Ending COD MWIII 2023)

9

中文 B1 中級

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))

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))

2

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))

2

TFX:使用TensorFlow生產ML管道(TF World '19) (TFX: Production ML pipelines with TensorFlow (TF World '19))

41:46

TFX:使用TensorFlow生產ML管道(TF World '19) (TFX: Production ML pipelines with TensorFlow (TF World '19))

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

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

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))

4

PAI：阿里巴巴的A.I.平臺(19年TF開發峰會) (PAI: Platform of A.I. in Alibaba (TF Dev Summit '19))

05:14

PAI：阿里巴巴的A.I.平臺(19年TF開發峰會) (PAI: Platform of A.I. in Alibaba (TF Dev Summit '19))

1

用TENSORFLOW TUTORIAL進行深度學習，20分鐘內介紹TensorFlow文法。 (DEEP LEARNING WITH TENSORFLOW TUTORIAL | Introduction to TensorFlow Syntax in 20 Minutes)

21:17

用TENSORFLOW TUTORIAL進行深度學習，20分鐘內介紹TensorFlow文法。 (DEEP LEARNING WITH TENSORFLOW TUTORIAL | Introduction to TensorFlow Syntax in 20 Minutes)

17

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

42:35

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

3

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)

2

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))

10

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

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))

4

TensorFlow內部：AutoGraph (Inside TensorFlow: AutoGraph)

53:55

TensorFlow內部：AutoGraph (Inside TensorFlow: AutoGraph)

1

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

機器學習在你的設備上。選項（Google I/O'19 (Machine Learning on Your Device: The Options (Google I/O'19))

38:32

機器學習在你的設備上。選項（Google I/O'19 (Machine Learning on Your Device: The Options (Google I/O'19))

4

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 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))

2

用於氣候分析的Exascale深度學習(TF Dev Summit '19) (Exascale Deep Learning for Climate Analytics (TF Dev Summit ‘19))

14:54

用於氣候分析的Exascale深度學習(TF Dev Summit '19) (Exascale Deep Learning for Climate Analytics (TF Dev Summit ‘19))

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

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

來自世界各地的優秀TensorFlow研究雲項目(TF World '19) (Great TensorFlow Research Cloud projects from around the world (TF World '19))

33:35

來自世界各地的優秀TensorFlow研究雲項目(TF World '19) (Great TensorFlow Research Cloud projects from around the world (TF World '19))

5

美國有線電視新聞網從伊朗襲擊的空軍基地獨家報道。 (CNN reports exclusively from air base attacked by Iran)

07:40

美國有線電視新聞網從伊朗襲擊的空軍基地獨家報道。 (CNN reports exclusively from air base attacked by Iran)

444

全球最棒的10大機場！ (Top 10 Greatest Airports in The World)

07:55

全球最棒的10大機場！ (Top 10 Greatest Airports in The World)

3

中文 B1 中級

提花。將ML無縫嵌入到日常物品中（TF開發峰會'20) (Jacquard: Embedding ML seamlessly into everyday objects (TF Dev Summit '20))

10:15

提花。將ML無縫嵌入到日常物品中（TF開發峰會'20) (Jacquard: Embedding ML seamlessly into everyday objects (TF Dev Summit '20))

1

CNN預測喬-拜登將贏得德州初選。他是如何做到的 (CNN projects Joe Biden will win Texas primary. Here's how he did it)

10:59

CNN預測喬-拜登將贏得德州初選。他是如何做到的 (CNN projects Joe Biden will win Texas primary. Here's how he did it)

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))

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

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