9,190 個「 tensorflow categorical data 」的搜尋結果

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用Colab中的TensorFlow在4分鐘內構建一個深度神經網絡。 (Build a deep neural network in 4 mins with TensorFlow in Colab)

03:54

用Colab中的TensorFlow在4分鐘內構建一個深度神經網絡。 (Build a deep neural network in 4 mins with TensorFlow in Colab)

2

來自戰壕的TensorFlow和ML。JPL的創新體驗中心(TF Dev Summit '20) (TensorFlow and ML from the trenches: The Innovation Experience Center at JPL (TF Dev Summit '20))

07:47

來自戰壕的TensorFlow和ML。JPL的創新體驗中心(TF Dev Summit '20) (TensorFlow and ML from the trenches: The Innovation Experience Center at JPL (TF Dev Summit '20))

2

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

Kant’s Categorical Imperative and Kantian Ethics Explained - Philosophy

08:49

Kant’s Categorical Imperative and Kantian Ethics Explained - Philosophy

8

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

從數據庫到訓練數據--用深度學習、Python和TensorFlow創建哈拉機器人 p.6 (Database to Training Data - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.6)

12:29

從數據庫到訓練數據--用深度學習、Python和TensorFlow創建哈拉機器人 p.6 (Database to Training Data - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.6)

7

擬合模型就像俄羅斯方塊：速成班統計學#35。 (Fitting Models Is like Tetris: Crash Course Statistics #35)

11:09

擬合模型就像俄羅斯方塊：速成班統計學#35。 (Fitting Models Is like Tetris: Crash Course Statistics #35)

4

完整的數據科學培訓 (Complete Data Science Training)

01:50

完整的數據科學培訓 (Complete Data Science Training)

14

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

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

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

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

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

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

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

第8講 | 深度學習軟件 (Lecture 8 | Deep Learning Software)

78:07

第8講 | 深度學習軟件 (Lecture 8 | Deep Learning Software)

65

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

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。TF調試 (Inside TensorFlow: TF Debugging)

38:27

TensorFlow內部。TF調試 (Inside TensorFlow: TF Debugging)

2

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

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

05:56

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

2

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

TensorFlow的發展，增加了對JS和Swift的支持（TensorFlow Meets）。 (The growth of TensorFlow with added support for JS & Swift (TensorFlow Meets))

07:04

TensorFlow的發展，增加了對JS和Swift的支持（TensorFlow Meets）。 (The growth of TensorFlow with added support for JS & Swift (TensorFlow Meets))

8

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

54:33

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

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))

3

TensorFlow內部：tf.data - TF輸入管道 (Inside TensorFlow: tf.data - TF Input Pipeline)

53:52

TensorFlow內部：tf.data - TF輸入管道 (Inside TensorFlow: tf.data - TF Input Pipeline)

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

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

拯救生命的AI和JavaScript｜安在文｜JSConf Korea 2019(en sub) (Lifesaving AI and JavaScript | Jaeman An | JSConf Korea 2019(en sub))

24:56

拯救生命的AI和JavaScript｜安在文｜JSConf Korea 2019(en sub) (Lifesaving AI and JavaScript | Jaeman An | JSConf Korea 2019(en sub))

3

TensorFlow內部：控制流 (Inside TensorFlow: Control Flow)

46:59

TensorFlow內部：控制流 (Inside TensorFlow: Control Flow)

6

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

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

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

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

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

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

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

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))

1

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?)

1

升級您現有的TensorFlow 2.0代碼（編碼TensorFlow）。 (Upgrade your existing code for TensorFlow 2.0 (Coding TensorFlow))

03:17

升級您現有的TensorFlow 2.0代碼（編碼TensorFlow）。 (Upgrade your existing code for TensorFlow 2.0 (Coding TensorFlow))

1

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))

2

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

BINARY CLASSIFIER WITH TENSORFLOW - CS50 on Twitch, EP.7 (BINARY CLASSIFIER WITH TENSORFLOW - CS50 on Twitch, EP. 7)

138:46

BINARY CLASSIFIER WITH TENSORFLOW - CS50 on Twitch, EP.7 (BINARY CLASSIFIER WITH TENSORFLOW - CS50 on Twitch, EP. 7)

2

數據科學家與人工智能工程師 (Data Scientist vs. AI Engineer)

10:39

數據科學家與人工智能工程師 (Data Scientist vs. AI Engineer)

8

中文 B1 中級