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

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雲計算中的分佈式培訓 (Distributed Training in the Cloud)

04:45

雲計算中的分佈式培訓 (Distributed Training in the Cloud)

27

Swift for TensorFlow (TF World '19) (Swift for TensorFlow (TF World '19))

39:21

Swift for TensorFlow (TF World '19) (Swift for TensorFlow (TF World '19))

2

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))

3

沒有博士學位的TensorFlow和深度學習，第一部分（Google Cloud Next '17）。 (TensorFlow and Deep Learning without a PhD, Part 1 (Google Cloud Next '17))

55:52

沒有博士學位的TensorFlow和深度學習，第一部分（Google Cloud Next '17）。 (TensorFlow and Deep Learning without a PhD, Part 1 (Google Cloud Next '17))

186

訓練模型--深度學習在海瀾之家AI大賽中的應用第5頁 (Training Model - Deep Learning in Halite AI competition p.5)

38:22

訓練模型--深度學習在海瀾之家AI大賽中的應用第5頁 (Training Model - Deep Learning in Halite AI competition p.5)

4

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))

2

設計神經網絡｜文本分類教程Pt.2 (編碼TensorFlow) (Designing a neural network | Text Classification Tutorial Pt. 2 (Coding TensorFlow))

06:03

設計神經網絡｜文本分類教程Pt.2 (編碼TensorFlow) (Designing a neural network | Text Classification Tutorial Pt. 2 (Coding TensorFlow))

5

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

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

15:40

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

2

使用神經網絡和ML迴歸模型進行分類(#AskTensorFlow) (Classification using neural networks & ML regression models (#AskTensorFlow))

06:56

使用神經網絡和ML迴歸模型進行分類(#AskTensorFlow) (Classification using neural networks & ML regression models (#AskTensorFlow))

2

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

使用ML預測1型糖尿病的胰島素使用情況（TensorFlow Meets）。 (Using ML to predict insulin use for Type 1 Diabetes (TensorFlow Meets))

12:48

使用ML預測1型糖尿病的胰島素使用情況（TensorFlow Meets）。 (Using ML to predict insulin use for Type 1 Diabetes (TensorFlow Meets))

4

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))

2

可口可樂公司的應用人工智能（TensorFlow Dev Summit 2018）。 (Applied AI at The Coca-Cola Company (TensorFlow Dev Summit 2018))

10:35

可口可樂公司的應用人工智能（TensorFlow Dev Summit 2018）。 (Applied AI at The Coca-Cola Company (TensorFlow Dev Summit 2018))

2

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))

7

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

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

05:45

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

85

用TensorFlow為詩人訓練影像分類器--機器學習食譜#6。 (Train an Image Classifier with TensorFlow for Poets - Machine Learning Recipes #6)

07:07

用TensorFlow為詩人訓練影像分類器--機器學習食譜#6。 (Train an Image Classifier with TensorFlow for Poets - Machine Learning Recipes #6)

43

TensorFlow和深度強化學習，不需要博士學位（Google I/O '18）。 (TensorFlow and deep reinforcement learning, without a PhD (Google I/O '18))

40:47

TensorFlow和深度強化學習，不需要博士學位（Google I/O '18）。 (TensorFlow and deep reinforcement learning, without a PhD (Google I/O '18))

2

準備你的數據的ML | 文本分類教程Pt.1 (編碼TensorFlow) (Prepare your data for ML | Text Classification Tutorial Pt. 1 (Coding TensorFlow))

04:25

準備你的數據的ML | 文本分類教程Pt.1 (編碼TensorFlow) (Prepare your data for ML | Text Classification Tutorial Pt. 1 (Coding TensorFlow))

1

模型理解和業務現實（TensorFlow擴展 (Model Understanding and Business Reality (TensorFlow Extended))

08:53

模型理解和業務現實（TensorFlow擴展 (Model Understanding and Business Reality (TensorFlow Extended))

2

第2天主題演講（TF World '19) (Day 2 Keynote (TF World '19))

89:35

第2天主題演講（TF World '19) (Day 2 Keynote (TF World '19))

3

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

05:56

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

2

08:11

神經網路

8

用Python、TensorFlow和Keras進行深度學習教程 (Deep Learning with Python, TensorFlow, and Keras tutorial)

20:34

用Python、TensorFlow和Keras進行深度學習教程 (Deep Learning with Python, TensorFlow, and Keras tutorial)

67

如何將你的ML模型轉換為TensorFlow Lite（TensorFlow本週小技巧）。 (How to convert your ML model to TensorFlow Lite (TensorFlow Tip of the Week))

02:37

如何將你的ML模型轉換為TensorFlow Lite（TensorFlow本週小技巧）。 (How to convert your ML model to TensorFlow Lite (TensorFlow Tip of the Week))

8

MLIR：用編譯器加速TF的發展（TF開發峰會'20) (MLIR: Accelerating TF with compilers (TF Dev Summit '20))

10:19

MLIR：用編譯器加速TF的發展（TF開發峰會'20) (MLIR: Accelerating TF with compilers (TF Dev Summit '20))

1

NVidia TensorRT：高性能深度學習推理加速器(TensorFlow Meets) (NVidia TensorRT: high-performance deep learning inference accelerator (TensorFlow Meets))

08:07

NVidia TensorRT：高性能深度學習推理加速器(TensorFlow Meets) (NVidia TensorRT: high-performance deep learning inference accelerator (TensorFlow Meets))

1

沒有博士學位的TensorFlow和深度學習，第二部分（Google Cloud Next '17）。 (TensorFlow and Deep Learning without a PhD, Part 2 (Google Cloud Next '17))

56:06

沒有博士學位的TensorFlow和深度學習，第二部分（Google Cloud Next '17）。 (TensorFlow and Deep Learning without a PhD, Part 2 (Google Cloud Next '17))

235

訓練模型來識別文本中的情感（NLP Zero to Hero，第三部分）。 (Training a model to recognize sentiment in text (NLP Zero to Hero, part 3))

08:35

訓練模型來識別文本中的情感（NLP Zero to Hero，第三部分）。 (Training a model to recognize sentiment in text (NLP Zero to Hero, part 3))

3

將TensorFlow Lite添加到您的Android應用中（TensorFlow每週小貼士）。 (Add TensorFlow Lite to your Android App (TensorFlow Tip of the Week))

02:20

將TensorFlow Lite添加到您的Android應用中（TensorFlow每週小貼士）。 (Add TensorFlow Lite to your Android App (TensorFlow Tip of the Week))

3

TensorFlow內部：TF-Agent (Inside TensorFlow: TF-Agents)

49:59

TensorFlow內部：TF-Agent (Inside TensorFlow: TF-Agents)

5

NMT概念和參數--用深度學習、Python和TensorFlow創建哈拉機器人第8頁。 (NMT Concepts and Parameters - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.8)

28:17

NMT概念和參數--用深度學習、Python和TensorFlow創建哈拉機器人第8頁。 (NMT Concepts and Parameters - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.8)

7

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))

1

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

擺好姿勢--JavaScript中的手勢識別/ML與Arduino--Charlie Gerard--2019年美國JSConf大會。 (Strike a Pose - Gesture recognition in JavaScript w/ ML & Arduino - Charlie Gerard - JSConf US 2019)

27:53

擺好姿勢--JavaScript中的手勢識別/ML與Arduino--Charlie Gerard--2019年美國JSConf大會。 (Strike a Pose - Gesture recognition in JavaScript w/ ML & Arduino - Charlie Gerard - JSConf US 2019)

1

使用TensorFlow.js為你的JavaScript應用釋放ML的力量（TF World '19）。 (Unlocking the power of ML for your JavaScript applications with TensorFlow.js (TF World '19))

43:36

使用TensorFlow.js為你的JavaScript應用釋放ML的力量（TF World '19）。 (Unlocking the power of ML for your JavaScript applications with TensorFlow.js (TF World '19))

2

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))

1

TensorFlow.js將機器學習帶入網絡及其他領域，由Nick Kreeger和Nikhil Thorat撰寫。 (TensorFlow.js Bringing Machine Learning to the Web and Beyond by Nick Kreeger & Nikhil Thorat)

20:21

TensorFlow.js將機器學習帶入網絡及其他領域，由Nick Kreeger和Nikhil Thorat撰寫。 (TensorFlow.js Bringing Machine Learning to the Web and Beyond by Nick Kreeger & Nikhil Thorat)

3

Sonnet 2.0 (TF Dev Summit '19) (Sonnet 2.0 (TF Dev Summit ‘19))

14:27

Sonnet 2.0 (TF Dev Summit '19) (Sonnet 2.0 (TF Dev Summit ‘19))

4

TensorFlow 2.0速成班 (TensorFlow 2.0 Crash Course)

133:17

TensorFlow 2.0速成班 (TensorFlow 2.0 Crash Course)

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))

1

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

介紹Google Coral：構建設備上的AI（Google I/O'19）。 (Introducing Google Coral: Building On-Device AI (Google I/O'19))

45:00

介紹Google Coral：構建設備上的AI（Google I/O'19）。 (Introducing Google Coral: Building On-Device AI (Google I/O'19))

3

機器學習和TensorFlow的進展（Google I/O '18）。 (Advances in machine learning and TensorFlow (Google I/O '18))

42:15

機器學習和TensorFlow的進展（Google I/O '18）。 (Advances in machine learning and TensorFlow (Google I/O '18))

2

TensorFlow內部。資源和變種 (Inside TensorFlow: Resources and Variants)

46:55

TensorFlow內部。資源和變種 (Inside TensorFlow: Resources and Variants)

2