7,918 個「 tensorflow model optimization toolkit 」的搜尋結果

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

16:07

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

1

Inside TensorFlow：急切的執行運行時。 (Inside TensorFlow: Eager execution runtime)

45:11

Inside TensorFlow：急切的執行運行時。 (Inside TensorFlow: Eager execution runtime)

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))

(03) OpenVINO工具包--完整的推理流程 ((03) OpenVINO toolkit - Full Inference flow)

02:57

(03) OpenVINO工具包--完整的推理流程 ((03) OpenVINO toolkit - Full Inference flow)

81

由TensorFlow提供支持：利用深度學習來更好地預測極端天氣。 (Powered by TensorFlow: utilizing deep learning to better predict extreme weather)

02:43

由TensorFlow提供支持：利用深度學習來更好地預測極端天氣。 (Powered by TensorFlow: utilizing deep learning to better predict extreme weather)

9

雲計算TPU（TensorFlow @ O'Reilly AI大會，18年舊金山）。 (Cloud TPUs (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

22:09

雲計算TPU（TensorFlow @ O'Reilly AI大會，18年舊金山）。 (Cloud TPUs (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

3

深度學習--TensorFlow的 "你好世界 (Deep Learning - TensorFlow's Hello World)

03:12

深度學習--TensorFlow的 "你好世界 (Deep Learning - TensorFlow's Hello World)

91

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TensorFlow進行廣度和深度學習 - 機器學習 (Wide & Deep Learning with TensorFlow - Machine Learning)

03:25

使用TensorFlow進行廣度和深度學習 - 機器學習 (Wide & Deep Learning with TensorFlow - Machine Learning)

145

矢量--智慧的數學#3。 (Vectors - The Math of Intelligence #3)

10:59

矢量--智慧的數學#3。 (Vectors - The Math of Intelligence #3)

43

TF 2.x on Kaggle (TF Dev Summit '20) (TF 2.x on Kaggle (TF Dev Summit '20))

05:33

TF 2.x on Kaggle (TF Dev Summit '20) (TF 2.x on Kaggle (TF Dev Summit '20))

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))

3

瑜伽姿勢--安迪-魯伊斯托和布萊恩-多諾萬--美國2019年JSConf。 (Yoga Pose - Andy Ruestow & Bryan Donovan - JSConf US 2019)

25:48

瑜伽姿勢--安迪-魯伊斯托和布萊恩-多諾萬--美國2019年JSConf。 (Yoga Pose - Andy Ruestow & Bryan Donovan - JSConf US 2019)

3

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

Magenta項目（2018年TensorFlow發展峰會）。 (Project Magenta (TensorFlow Dev Summit 2018))

13:57

Magenta項目（2018年TensorFlow發展峰會）。 (Project Magenta (TensorFlow Dev Summit 2018))

1

TensorFlow內部：函數，而不是會話 (Inside TensorFlow: Functions, not sessions)

46:09

TensorFlow內部：函數，而不是會話 (Inside TensorFlow: Functions, not sessions)

4

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

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

簡單明瞭的估算器(AI歷險記) (Plain and Simple Estimators (AI Adventures))

05:47

簡單明瞭的估算器(AI歷險記) (Plain and Simple Estimators (AI Adventures))

57

在5分鐘內開始使用TensorFlow的高級API | Google I/O 2018 (Get started with TensorFlow's High-Level APIs in 5 mins | Google I/O 2018)

05:15

在5分鐘內開始使用TensorFlow的高級API | Google I/O 2018 (Get started with TensorFlow's High-Level APIs in 5 mins | Google I/O 2018)

3

2019年穀歌I/O大會上的ML與AI沙盒演示。 (ML & AI sandbox demos at Google I/O 2019)

02:44

2019年穀歌I/O大會上的ML與AI沙盒演示。 (ML & AI sandbox demos at Google I/O 2019)

4

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

參與TensorFlow社區 (TF World '19) (Getting involved in the TensorFlow community (TF World '19))

31:26

參與TensorFlow社區 (TF World '19) (Getting involved in the TensorFlow community (TF World '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：tf.distribution.Strategy。 (Inside TensorFlow: tf.distribute.Strategy)

54:33

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

4

Swift在機器學習中的威力（TensorFlow的遇見 (The Power of Swift for Machine Learning (TensorFlow Meets))

06:31

Swift在機器學習中的威力（TensorFlow的遇見 (The Power of Swift for Machine Learning (TensorFlow Meets))

3

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

編碼Tensorflow - 第1集 (Coding Tensorflow en Español - Episodio 1)

08:51

編碼Tensorflow - 第1集 (Coding Tensorflow en Español - Episodio 1)

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)

4

構建影像分類器(法語編碼TensorFlow) (Construire un classifieur d'images (Coding TensorFlow en français))

05:42

構建影像分類器(法語編碼TensorFlow) (Construire un classifieur d'images (Coding TensorFlow en français))

2

谷歌翻譯工具箱 (Google Translator Toolkit)

01:38

谷歌翻譯工具箱 (Google Translator Toolkit)

145

咒語與伊寧石的風格轉換 (Style Transfer using Spell with Yining Shi)

86:41

咒語與伊寧石的風格轉換 (Style Transfer using Spell with Yining Shi)

6

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

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

消費者優化 (Consumer Optimization)

06:29

消費者優化 (Consumer Optimization)

67

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

用tf.text建立模型(TF World '19) (Building models with tf.text (TF World '19))

39:33

用tf.text建立模型(TF World '19) (Building models with tf.text (TF World '19))

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

Swift for TensorFlow (TensorFlow Meets) (Swift for TensorFlow (TensorFlow Meets))

09:50

Swift for TensorFlow (TensorFlow Meets) (Swift for TensorFlow (TensorFlow Meets))

2

訓練模式--海利特二期2017年人工智能大賽第6頁 (Training Model - Halite II 2017 Artificial Intelligence Competition p.6)

18:52

訓練模式--海利特二期2017年人工智能大賽第6頁 (Training Model - Halite II 2017 Artificial Intelligence Competition p.6)

2

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

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

如何開始使用AI/ML，重新訓練模型等!(#AskTensorFlow) (How to get started with AI/ML, retraining models, & more! (#AskTensorFlow))

05:54

如何開始使用AI/ML，重新訓練模型等!(#AskTensorFlow) (How to get started with AI/ML, retraining models, & more! (#AskTensorFlow))

3

在TensorFlow與核物理學的交叉點上（TensorFlow遇見 (At the intersection of TensorFlow & nuclear physics (TensorFlow Meets))

07:57

在TensorFlow與核物理學的交叉點上（TensorFlow遇見 (At the intersection of TensorFlow & nuclear physics (TensorFlow Meets))

3

構建一個神經網絡來運行分類（葡萄牙語編碼TensorFlow）。 (Construa uma rede neural para executar a classificação (Coding TensorFlow em português))

07:31

構建一個神經網絡來運行分類（葡萄牙語編碼TensorFlow）。 (Construa uma rede neural para executar a classificação (Coding TensorFlow em português))

4