10,000 個「 saving TensorFlow model 」的搜尋結果

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Inside TensorFlow：面向TF開發者的MLIR。 (Inside TensorFlow: MLIR for TF developers)

43:41

Inside TensorFlow：面向TF開發者的MLIR。 (Inside TensorFlow: MLIR for TF developers)

4

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

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

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

雲TPU艙。針對大型機器學習問題的AI超級計算（Google I/O'19) (Cloud TPU Pods: AI Supercomputing for Large Machine Learning Problems (Google I/O'19))

41:48

雲TPU艙。針對大型機器學習問題的AI超級計算（Google I/O'19) (Cloud TPU Pods: AI Supercomputing for Large Machine Learning Problems (Google I/O'19))

3

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

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

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

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

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

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

tf.function和Autograph (TF Dev Summit '19) (tf.function and Autograph (TF Dev Summit ‘19))

14:38

tf.function和Autograph (TF Dev Summit '19) (tf.function and Autograph (TF Dev Summit ‘19))

1

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

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)

1

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

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

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

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

49:59

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

5

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

Arun Subramaniyan討論概率建模(TensorFlow Meets) (Arun Subramaniyan discusses probabilistic modeling (TensorFlow Meets))

08:19

Arun Subramaniyan討論概率建模(TensorFlow Meets) (Arun Subramaniyan discusses probabilistic modeling (TensorFlow Meets))

2

用Tensorflow進行深度學習--張力器、變量和佔位符。 (Deep Learning with Tensorflow - Tensors, Variables and Placeholders)

04:51

用Tensorflow進行深度學習--張力器、變量和佔位符。 (Deep Learning with Tensorflow - Tensors, Variables and Placeholders)

96

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

Inside TensorFlow: Graph rewriting (Macros, not functions) (Inside TensorFlow: Graph rewriting (Macros, not functions))

44:03

Inside TensorFlow: Graph rewriting (Macros, not functions) (Inside TensorFlow: Graph rewriting (Macros, not functions))

5

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

05:56

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

2

專注於你的實驗與TensorFlow估計器（TensorFlow滿足 (Focus on your experiment with TensorFlow Estimators (TensorFlow Meets))

08:11

專注於你的實驗與TensorFlow估計器（TensorFlow滿足 (Focus on your experiment with TensorFlow Estimators (TensorFlow Meets))

3

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

Jetson Nano review and Object Detection ft.TensorRT (Jetson Nano review and Object Detection ft. TensorRT)

10:28

Jetson Nano review and Object Detection ft.TensorRT (Jetson Nano review and Object Detection ft. TensorRT)

6

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))

4

像跳舞一樣，是一款利用機器學習幫助用戶學習舞蹈的應用。 (Dance Like, an app that helps users learn how to dance using machine learning)

01:18

像跳舞一樣，是一款利用機器學習幫助用戶學習舞蹈的應用。 (Dance Like, an app that helps users learn how to dance using machine learning)

7

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

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

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

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))

1

與Udacity的創始人討論TensorFlow（TensorFlow遇見）。 (Discussing TensorFlow with the founder of Udacity (TensorFlow Meets))

03:50

與Udacity的創始人討論TensorFlow（TensorFlow遇見）。 (Discussing TensorFlow with the founder of Udacity (TensorFlow Meets))

2

機器學習如何被用來幫助拯救世界上的蜜蜂？ (How machine learning is being used to help save the world’s bees)

01:27

機器學習如何被用來幫助拯救世界上的蜜蜂？ (How machine learning is being used to help save the world’s bees)

102

中文 B1 中級

08:11

神經網路

8

TensorFlow是如何不斷改進的（TensorFlow Meet (How TensorFlow keeps improving (TensorFlow Meets))

06:39

TensorFlow是如何不斷改進的（TensorFlow Meet (How TensorFlow keeps improving (TensorFlow Meets))

2