8,765 個「 neural machine translation 」的搜尋結果

依關聯性

VoiceTube 廣告

機器學習API實例（Google Cloud Next'17 (Machine Learning APIs by Example (Google Cloud Next '17))

38:36

機器學習API實例（Google Cloud Next'17 (Machine Learning APIs by Example (Google Cloud Next '17))

154

信息技術英語 - VV 54: 人工智能 (AI) | 商務英語詞彙表 (English for IT - VV 54: Artificial Intelligence (AI) | Business English Vocabulary)

07:37

信息技術英語 - VV 54: 人工智能 (AI) | 商務英語詞彙表 (English for IT - VV 54: Artificial Intelligence (AI) | Business English Vocabulary)

59

中文 B1 中級

大規模機器學習 (Large Scale Machine Learning)

36:10

大規模機器學習 (Large Scale Machine Learning)

209

Tensor2Tensor (TensorFlow @ O'Reilly AI Conference, San Francisco '18) (Tensor2Tensor (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

39:01

Tensor2Tensor (TensorFlow @ O'Reilly AI Conference, San Francisco '18) (Tensor2Tensor (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

5

Jeff Dean在TF World '19（TensorFlow Meets）上討論機器學習的未來。 (Jeff Dean discusses the future of machine learning at TF World ‘19 (TensorFlow Meets))

07:21

Jeff Dean在TF World '19（TensorFlow Meets）上討論機器學習的未來。 (Jeff Dean discusses the future of machine learning at TF World ‘19 (TensorFlow Meets))

2

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

訓練模型--用深度學習、Python和TensorFlow創建哈拉機器人 p.7 (Training a Model - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.7)

17:21

訓練模型--用深度學習、Python和TensorFlow創建哈拉機器人 p.7 (Training a Model - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.7)

2

谷歌翻譯如何利用數學理解 134 種語言 | WSJ Tech Behind (How Google Translate Uses Math to Understand 134 Languages | WSJ Tech Behind)

08:21

谷歌翻譯如何利用數學理解 134 種語言 | WSJ Tech Behind (How Google Translate Uses Math to Understand 134 Languages | WSJ Tech Behind)

8217

中文 B1 中級

深度學習解決挑戰性問題（Google I/O'19）。 (Deep Learning to Solve Challenging Problems (Google I/O'19))

40:59

深度學習解決挑戰性問題（Google I/O'19）。 (Deep Learning to Solve Challenging Problems (Google I/O'19))

4

機器學習。谷歌的願景--谷歌I/O 2016 (Machine Learning: Google's Vision - Google I/O 2016)

44:45

機器學習。谷歌的願景--谷歌I/O 2016 (Machine Learning: Google's Vision - Google I/O 2016)

407

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

為什麼計算機不擅長翻譯 (Why Computers Suck At Translation)

05:05

為什麼計算機不擅長翻譯 (Why Computers Suck At Translation)

128

Mesh-TensorFlow：超級計算機的模型並行性(TF Dev Summit '19) (Mesh-TensorFlow: Model Parallelism for Supercomputers (TF Dev Summit ‘19))

15:14

Mesh-TensorFlow：超級計算機的模型並行性(TF Dev Summit '19) (Mesh-TensorFlow: Model Parallelism for Supercomputers (TF Dev Summit ‘19))

2

用深度學習做數學（加法）--非常規神經網絡第10頁。 (Doing Math with Deep Learning (Addition)- Unconventional Neural Networks p.10)

15:33

用深度學習做數學（加法）--非常規神經網絡第10頁。 (Doing Math with Deep Learning (Addition)- Unconventional Neural Networks p.10)

7

來自世界各地的優秀TensorFlow研究雲項目(TF World '19) (Great TensorFlow Research Cloud projects from around the world (TF World '19))

33:35

來自世界各地的優秀TensorFlow研究雲項目(TF World '19) (Great TensorFlow Research Cloud projects from around the world (TF World '19))

4

神經結構化學習--第二部分：用自然圖訓練 (Neural Structured Learning - Part 2: Training with natural graphs)

05:12

神經結構化學習--第二部分：用自然圖訓練 (Neural Structured Learning - Part 2: Training with natural graphs)

2

用TensorFlow構建AI：概述（TensorFlow @ O'Reilly AI大會，舊金山'18）。 (Building AI with TensorFlow: An Overview (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

42:53

用TensorFlow構建AI：概述（TensorFlow @ O'Reilly AI大會，舊金山'18）。 (Building AI with TensorFlow: An Overview (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

4

ml5.js: 訓練你自己的神經網絡 (ml5.js: Train Your Own Neural Network)

34:49

ml5.js: 訓練你自己的神經網絡 (ml5.js: Train Your Own Neural Network)

1

120GB的VRAM (120GB of VRAM)

13:03

120GB的VRAM (120GB of VRAM)

1

與圖靈獎得主、深度學習先驅Geoffrey Hinton的爐邊談話（Google I/O'19）。 (A Fireside Chat with Turing Award Winner Geoffrey Hinton, Pioneer of Deep Learning (Google I/O'19))

39:02

與圖靈獎得主、深度學習先驅Geoffrey Hinton的爐邊談話（Google I/O'19）。 (A Fireside Chat with Turing Award Winner Geoffrey Hinton, Pioneer of Deep Learning (Google I/O'19))

3

TensorFlow 2.0入門 (Google I/O'19) (Getting Started with TensorFlow 2.0 (Google I/O'19))

31:48

TensorFlow 2.0入門 (Google I/O'19) (Getting Started with TensorFlow 2.0 (Google I/O'19))

2

神經網絡--第5講--CS50的《人工智能入門與Python 2020》。 (Neural Networks - Lecture 5 - CS50's Introduction to Artificial Intelligence with Python 2020)

101:20

神經網絡--第5講--CS50的《人工智能入門與Python 2020》。 (Neural Networks - Lecture 5 - CS50's Introduction to Artificial Intelligence with Python 2020)

7

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

使用機器學習改善UI/UX--Milecia McGregor | JSConf Hawaii 2020 (Using Machine Learning to Improve UI/UX - Milecia McGregor | JSConf Hawaii 2020)

21:59

使用機器學習改善UI/UX--Milecia McGregor | JSConf Hawaii 2020 (Using Machine Learning to Improve UI/UX - Milecia McGregor | JSConf Hawaii 2020)

6

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

機器學習入門(ML Zero to Hero，第一部分) (Intro to Machine Learning (ML Zero to Hero, part 1))

07:18

機器學習入門(ML Zero to Hero，第一部分) (Intro to Machine Learning (ML Zero to Hero, part 1))

5

神經結構化學習--第1部分。框架概述 (Neural Structured Learning - Part 1: Framework overview)

05:13

神經結構化學習--第1部分。框架概述 (Neural Structured Learning - Part 1: Framework overview)

3

介紹 - 用Python和Pytorch進行深度學習和神經網絡 p.1 (Introduction - Deep Learning and Neural Networks with Python and Pytorch p.1)

24:49

介紹 - 用Python和Pytorch進行深度學習和神經網絡 p.1 (Introduction - Deep Learning and Neural Networks with Python and Pytorch p.1)

9

從零開始的神經網絡公告 (Neural Networks from Scratch announcement)

11:35

從零開始的神經網絡公告 (Neural Networks from Scratch announcement)

1

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

程序員的TF機器學習（TensorFlow @ O'Reilly AI大會，舊金山18年）。 (TF Machine Learning for Programmers (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

41:56

程序員的TF機器學習（TensorFlow @ O'Reilly AI大會，舊金山18年）。 (TF Machine Learning for Programmers (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

2

神經網絡和深度學習。AI速成班#3 (Neural Networks and Deep Learning: Crash Course AI #3)

12:23

神經網絡和深度學習。AI速成班#3 (Neural Networks and Deep Learning: Crash Course AI #3)

2

什麼是人工智能、機器學習和深度學習？ (What Is Artificial Intelligence, Machine Learning And Deep Learning?)

10:13

什麼是人工智能、機器學習和深度學習？ (What Is Artificial Intelligence, Machine Learning And Deep Learning?)

187

什麼是神經網絡--第2集(深度學習SIMPLIFIED) (What is a Neural Network - Ep. 2 (Deep Learning SIMPLIFIED))

06:30

什麼是神經網絡--第2集(深度學習SIMPLIFIED) (What is a Neural Network - Ep. 2 (Deep Learning SIMPLIFIED))

189

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

歌詞+翻譯 (lyrics+translation)

04:19

歌詞+翻譯 (lyrics+translation)

356

翻譯的技術 - 6分鐘英語 (The Technology of Translation - 6 Minute English)

06:20

翻譯的技術 - 6分鐘英語 (The Technology of Translation - 6 Minute English)

182

中文 B1 中級

神經網絡。統計速成班#41 (Neural Networks: Crash Course Statistics #41)

12:16

神經網絡。統計速成班#41 (Neural Networks: Crash Course Statistics #41)

2

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

#ProjectCleanMachine | Adobe MAX Sneaks 2024 | Adobe (#ProjectCleanMachine | Adobe MAX Sneaks 2024 | Adobe)

05:01

#ProjectCleanMachine | Adobe MAX Sneaks 2024 | Adobe (#ProjectCleanMachine | Adobe MAX Sneaks 2024 | Adobe)

1

中文 B1 中級

用TensorFlow進行深度學習--TensorFlow介紹 (Deep Learning with TensorFlow - Introduction to TensorFlow)

05:38

用TensorFlow進行深度學習--TensorFlow介紹 (Deep Learning with TensorFlow - Introduction to TensorFlow)

177

為機器學習準備你的數據集（TensorFlow編碼）。 (Prepare your dataset for machine learning (Coding TensorFlow))

07:37

為機器學習準備你的數據集（TensorFlow編碼）。 (Prepare your dataset for machine learning (Coding TensorFlow))

2

大型語言模型介紹 (Introduction to Large Language Models)

16:11

大型語言模型介紹 (Introduction to Large Language Models)

16

中文 B1 中級

ml5: 保存神經網絡訓練的模型 (ml5: Save Neural Network Trained Model)

10:57

ml5: 保存神經網絡訓練的模型 (ml5: Save Neural Network Trained Model)

2

安提瓜度假旅遊指南 | Expedia ) (Antigua Vacation Travel Guide | Expedia ))

06:54

安提瓜度假旅遊指南 | Expedia ) (Antigua Vacation Travel Guide | Expedia ))

165

中文 B1 中級

神經結構化學習--第3部分：用合成圖訓練 (Neural Structured Learning - Part 3: Training with synthesized graphs)

05:16

神經結構化學習--第3部分：用合成圖訓練 (Neural Structured Learning - Part 3: Training with synthesized graphs)

4