10,000 個「 neural structured learning in TensorFlow 」的搜尋結果

依關聯性

VoiceTube 廣告

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

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

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

使用Nabil Hassein的Spell生成文本。 (Text Generation using Spell with Nabil Hassein)

58:31

使用Nabil Hassein的Spell生成文本。 (Text Generation using Spell with Nabil Hassein)

1

字幕已審核

跟著 BBC 學英語的老師們學會各種實用英文！ (BOX SET: English In A Minute 15 – TEN English lessons in 10 minutes!)

09:47

跟著 BBC 學英語的老師們學會各種實用英文！ (BOX SET: English In A Minute 15 – TEN English lessons in 10 minutes!)

20318

中文 A2 初級

TensorFlow內部：TF文件系統 (Inside TensorFlow: TF Filesystems)

26:25

TensorFlow內部：TF文件系統 (Inside TensorFlow: TF Filesystems)

2

準備你的機器學習數據集（葡萄牙語編碼TensorFlow）。 (Prepare o seu conjunto de dados para machine learning (Coding TensorFlow em português))

07:27

準備你的機器學習數據集（葡萄牙語編碼TensorFlow）。 (Prepare o seu conjunto de dados para machine learning (Coding TensorFlow em português))

2

訓練神經網絡。訓練神經網絡：速成班AI #4 (Training Neural Networks: Crash Course AI #4)

12:29

訓練神經網絡。訓練神經網絡：速成班AI #4 (Training Neural Networks: Crash Course AI #4)

4

什麼是人工智能（或機器學習）？ (What is Artificial Intelligence (or Machine Learning)?)

06:15

什麼是人工智能（或機器學習）？ (What is Artificial Intelligence (or Machine Learning)?)

342

中文 B1 中級

Google IO 2018: 人工智彗 (Building the future of artificial intelligence for everyone (Google I/O '18))

40:53

Google IO 2018: 人工智彗 (Building the future of artificial intelligence for everyone (Google I/O '18))

318

利用英特爾神經計算棒2在網絡邊緣開發AI。 (Develop AI at the Network Edge with Intel Neural Compute Stick 2 )

02:01

利用英特爾神經計算棒2在網絡邊緣開發AI。 (Develop AI at the Network Edge with Intel Neural Compute Stick 2 )

29

數據結構--用深度學習、Python和TensorFlow創建哈拉機器人 p.2 (Data Structure - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.2)

09:48

數據結構--用深度學習、Python和TensorFlow創建哈拉機器人 p.2 (Data Structure - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.2)

2

機器學習如何幫助識別洛杉磯道路上的坑洞？ (How machine learning helps identify potholes on Los Angeles roads)

01:01

機器學習如何幫助識別洛杉磯道路上的坑洞？ (How machine learning helps identify potholes on Los Angeles roads)

109

中文 A2 初級

訓練與測試深度強化學習(DQN)代理--強化學習第6頁。 (Training & Testing Deep reinforcement learning (DQN) Agent - Reinforcement Learning p.6)

48:37

訓練與測試深度強化學習(DQN)代理--強化學習第6頁。 (Training & Testing Deep reinforcement learning (DQN) Agent - Reinforcement Learning p.6)

6

神經網絡，第二部分!- CS50 Live，EP.55 (NEURAL NETWORKS, PART 2! - CS50 Live, EP. 55)

124:07

神經網絡，第二部分!- CS50 Live，EP.55 (NEURAL NETWORKS, PART 2! - CS50 Live, EP. 55)

1

TensorFlow內部：AutoGraph (Inside TensorFlow: AutoGraph)

53:55

TensorFlow內部：AutoGraph (Inside TensorFlow: AutoGraph)

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

數據--用Python和Pytorch進行深度學習和神經網絡 p.2 (Data - Deep Learning and Neural Networks with Python and Pytorch p.2)

28:17

數據--用Python和Pytorch進行深度學習和神經網絡 p.2 (Data - Deep Learning and Neural Networks with Python and Pytorch p.2)

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

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

緩衝數據集--用深度學習、Python和TensorFlow創建哈拉機器人 p.3 (Buffering dataset - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.3)

11:37

緩衝數據集--用深度學習、Python和TensorFlow創建哈拉機器人 p.3 (Buffering dataset - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.3)

10

ml5：神經網絡迴歸 (ml5: Neural Network Regression)

09:51

ml5：神經網絡迴歸 (ml5: Neural Network Regression)

3

用MNIST生成--非常規神經網絡第3頁。 (Generating with MNIST - Unconventional Neural Networks p.3)

10:16

用MNIST生成--非常規神經網絡第3頁。 (Generating with MNIST - Unconventional Neural Networks p.3)

1

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

機器學習如何幫助科學家追蹤小行星？ (How machine learning helps scientists track asteroids)

01:22

機器學習如何幫助科學家追蹤小行星？ (How machine learning helps scientists track asteroids)

9

字幕已審核

三個深度學習可以教你的事！ (3 reasons to go Deep - Ep. 3 (Deep Learning SIMPLIFIED))

03:57

三個深度學習可以教你的事！ (3 reasons to go Deep - Ep. 3 (Deep Learning SIMPLIFIED))

28861

中文 B1 中級

為大家打造一個可持續發展的開源機器學習平臺（TensorFlow遇見）。 (Building a sustainable, open source machine learning platform for everyone (TensorFlow Meets))

08:13

為大家打造一個可持續發展的開源機器學習平臺（TensorFlow遇見）。 (Building a sustainable, open source machine learning platform for everyone (TensorFlow Meets))

2

機器學習與藝術--谷歌I/O 2016 (Machine learning & art - Google I/O 2016)

42:36

機器學習與藝術--谷歌I/O 2016 (Machine learning & art - Google I/O 2016)

141

構建數據庫--用深度學習、Python和TensorFlow創建哈拉機器人 p.5 (Building Database - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.5)

18:57

構建數據庫--用深度學習、Python和TensorFlow創建哈拉機器人 p.5 (Building Database - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.5)

9

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

AI for Good Panel--精準醫療--SXSW 2017--#IntelAI--#theCUBE。 (AI for Good Panel - Precision Medicine - SXSW 2017 - #IntelAI - #theCUBE)

64:20

AI for Good Panel--精準醫療--SXSW 2017--#IntelAI--#theCUBE。 (AI for Good Panel - Precision Medicine - SXSW 2017 - #IntelAI - #theCUBE)

174

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

字幕已審核

【BBC 英語】一分鐘學會五種「in」的時間用法 (EIAM: Five ways to use 'in' with time expressions)

00:57

【BBC 英語】一分鐘學會五種「in」的時間用法 (EIAM: Five ways to use 'in' with time expressions)

58058

中文 A1 初級

解決你的模型的過擬合和欠擬合問題--Pt.2（編碼TensorFlow）。 (Solve your model’s overfitting and underfitting problems - Pt.2 (Coding TensorFlow))

04:52

解決你的模型的過擬合和欠擬合問題--Pt.2（編碼TensorFlow）。 (Solve your model’s overfitting and underfitting problems - Pt.2 (Coding TensorFlow))

2

將人工智能和機器學習創新帶到醫療領域（Google I/O '18）。 (Bringing AI and machine learning innovations to healthcare (Google I/O '18))

32:51

將人工智能和機器學習創新帶到醫療領域（Google I/O '18）。 (Bringing AI and machine learning innovations to healthcare (Google I/O '18))

53

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

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))

2

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

解決你的模型的過擬合和欠擬合問題--Pt.1（編碼TensorFlow）。 (Solve your model’s overfitting and underfitting problems - Pt.1 (Coding TensorFlow))

04:43

解決你的模型的過擬合和欠擬合問題--Pt.1（編碼TensorFlow）。 (Solve your model’s overfitting and underfitting problems - Pt.1 (Coding TensorFlow))

3

介紹Emil：為機器學習添彩的創意編碼員。 (Introducing Emil: the creative coder adding color to machine learning)

00:54

介紹Emil：為機器學習添彩的創意編碼員。 (Introducing Emil: the creative coder adding color to machine learning)

9

充分利用Colab (TF開發峰會'20) (Making the most of Colab (TF Dev Summit '20))

06:44

充分利用Colab (TF開發峰會'20) (Making the most of Colab (TF Dev Summit '20))

7

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

講座1 | 自然語言處理與深度學習 (Lecture 1 | Natural Language Processing with Deep Learning)

71:41

講座1 | 自然語言處理與深度學習 (Lecture 1 | Natural Language Processing with Deep Learning)

183

兩分鐘論文--利用深度學習產生幻覺的影像 (Two Minute Papers - Hallucinating Images With Deep Learning)

03:14

兩分鐘論文--利用深度學習產生幻覺的影像 (Two Minute Papers - Hallucinating Images With Deep Learning)

82

AI Pong - TensorFlow.js p.3 (AI Pong - TensorFlow.js p.3)

15:47

AI Pong - TensorFlow.js p.3 (AI Pong - TensorFlow.js p.3)

3

使用JavaScript的神經網絡--使用Brain.js的全科課程 (Neural Networks with JavaScript - Full Course using Brain.js)

92:07

使用JavaScript的神經網絡--使用Brain.js的全科課程 (Neural Networks with JavaScript - Full Course using Brain.js)

7