10,000 個「 deep neural network models 」的搜尋結果

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深度學習與AlphaGo--計算機戰勝人類#2》。 (Deep Learning and AlphaGo - Computers Beating Humans #2)

06:26

深度學習與AlphaGo--計算機戰勝人類#2》。 (Deep Learning and AlphaGo - Computers Beating Humans #2)

143

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

Runway的介紹。創客的機器學習（第一部分 (Introduction to Runway: Machine Learning for Creators (Part 1))

17:40

Runway的介紹。創客的機器學習（第一部分 (Introduction to Runway: Machine Learning for Creators (Part 1))

2

深度學習與SC2介紹--《星際爭霸II》中的Python人工智能教程第7頁。 (Deep Learning with SC2 Intro - Python AI in StarCraft II tutorial p.7)

20:37

深度學習與SC2介紹--《星際爭霸II》中的Python人工智能教程第7頁。 (Deep Learning with SC2 Intro - Python AI in StarCraft II tutorial p.7)

2

ml5.js：保存神經網絡訓練數據 (ml5.js: Save Neural Network Training Data)

12:46

ml5.js：保存神經網絡訓練數據 (ml5.js: Save Neural Network Training Data)

1

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

利用Keras-Tuner優化神經網絡結構 (Optimizing Neural Network Structures with Keras-Tuner)

28:26

利用Keras-Tuner優化神經網絡結構 (Optimizing Neural Network Structures with Keras-Tuner)

2

在瀏覽器中嘗試TensorFlow.js (Coding TensorFlow) (Try TensorFlow.js in your browser (Coding TensorFlow))

07:07

在瀏覽器中嘗試TensorFlow.js (Coding TensorFlow) (Try TensorFlow.js in your browser (Coding TensorFlow))

1

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

機器學習如何推動深層欺詐世界的發展？ (How Machine Learning Drives the Deceptive World of Deepfakes)

07:32

機器學習如何推動深層欺詐世界的發展？ (How Machine Learning Drives the Deceptive World of Deepfakes)

6

NLP的長短期記憶（NLP零到英雄-第五部分 (Long Short-Term Memory for NLP (NLP Zero to Hero - Part 5))

04:10

NLP的長短期記憶（NLP零到英雄-第五部分 (Long Short-Term Memory for NLP (NLP Zero to Hero - Part 5))

3

用神經網絡生成Pythonic代碼--非常規神經網絡第2頁。 (Generating Pythonic code with Neural Network - Unconventional Neural Networks p.2)

19:48

用神經網絡生成Pythonic代碼--非常規神經網絡第2頁。 (Generating Pythonic code with Neural Network - Unconventional Neural Networks p.2)

1

Python中的深度強化學習教程--如何實現深度學習的課程論文。 (Deep Reinforcement Learning in Python Tutorial - A Course on How to Implement Deep Learning Papers)

177:11

Python中的深度強化學習教程--如何實現深度學習的課程論文。 (Deep Reinforcement Learning in Python Tutorial - A Course on How to Implement Deep Learning Papers)

2

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

深度學習超級採樣（DLSS） - Computerphile (Deep Learned Super-Sampling (DLSS) - Computerphile)

15:34

深度學習超級採樣（DLSS） - Computerphile (Deep Learned Super-Sampling (DLSS) - Computerphile)

2

120GB的VRAM (120GB of VRAM)

13:03

120GB的VRAM (120GB of VRAM)

1

TensorFlow Lite:移動和物聯網設備的ML（TF Dev Summit '20）。 (TensorFlow Lite: ML for mobile and IoT devices (TF Dev Summit '20))

14:40

TensorFlow Lite:移動和物聯網設備的ML（TF Dev Summit '20）。 (TensorFlow Lite: ML for mobile and IoT devices (TF Dev Summit '20))

4

IEI深度學習推理加速卡 (IEI Deep Learning Inference Acceleration Card )

13:27

IEI深度學習推理加速卡 (IEI Deep Learning Inference Acceleration Card )

44

使用TF模型優化工具包優化您的模型（TF Dev Summit '20）。 (Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20))

17:09

使用TF模型優化工具包優化您的模型（TF Dev Summit '20）。 (Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20))

1

循環神經網絡的ML（NLP Zero to Hero--第4部分）。 (ML with Recurrent Neural Networks (NLP Zero to Hero - Part 4))

05:59

循環神經網絡的ML（NLP Zero to Hero--第4部分）。 (ML with Recurrent Neural Networks (NLP Zero to Hero - Part 4))

5

Yann LeCun博士，"機器如何能像動物和人類一樣高效地學習？" (Dr. Yann LeCun, "How Could Machines Learn as Efficiently as Animals and Humans?")

91:38

Yann LeCun博士，"機器如何能像動物和人類一樣高效地學習？" (Dr. Yann LeCun, "How Could Machines Learn as Efficiently as Animals and Humans?")

40

Apple Event October 13 发布会（Apple Event — October 13）

70:59

Apple Event October 13 发布会（Apple Event — October 13）

17

小組討論。機器學習的應用 (Panel Discussion: Applications of Machine Learning)

43:18

小組討論。機器學習的應用 (Panel Discussion: Applications of Machine Learning)

254

TensorFlow 2.0和Keras (#AskTensorFlow) (TensorFlow 2.0 and Keras (#AskTensorFlow))

05:23

TensorFlow 2.0和Keras (#AskTensorFlow) (TensorFlow 2.0 and Keras (#AskTensorFlow))

1

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

新的DeepMind人工智能100-0擊敗AlphaGo｜兩分鐘論文#201。 (New DeepMind AI Beats AlphaGo 100-0 | Two Minute Papers #201)

05:52

新的DeepMind人工智能100-0擊敗AlphaGo｜兩分鐘論文#201。 (New DeepMind AI Beats AlphaGo 100-0 | Two Minute Papers #201)

87

TensorFlow概率（TensorFlow @ O'Reilly AI大會，舊金山'18）。 (TensorFlow Probability (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

16:01

TensorFlow概率（TensorFlow @ O'Reilly AI大會，舊金山'18）。 (TensorFlow Probability (TensorFlow @ O’Reilly AI Conference, San Francisco '18))

3

利用英特爾高級向量擴展512提升深度學習能力｜英特爾軟件 (Boost Deep Learning with Intel Advanced Vector Extensions 512 | Intel Software)

05:57

利用英特爾高級向量擴展512提升深度學習能力｜英特爾軟件 (Boost Deep Learning with Intel Advanced Vector Extensions 512 | Intel Software)

35

深層夢境框架-非常規神經網絡第8頁。 (Deep Dream Frames- Unconventional Neural Networks p.8)

09:36

深層夢境框架-非常規神經網絡第8頁。 (Deep Dream Frames- Unconventional Neural Networks p.8)

1

訓練神經網絡--《星際爭霸II》中的Python AI教程第11頁 (Training Neural Network - Python AI in StarCraft II tutorial p.11)

22:52

訓練神經網絡--《星際爭霸II》中的Python AI教程第11頁 (Training Neural Network - Python AI in StarCraft II tutorial p.11)

3

TensorFlow World 2019主題演講 (TensorFlow World 2019 Keynote)

76:41

TensorFlow World 2019主題演講 (TensorFlow World 2019 Keynote)

3

用TensorFlow為詩人訓練影像分類器--機器學習食譜#6。 (Train an Image Classifier with TensorFlow for Poets - Machine Learning Recipes #6)

07:07

用TensorFlow為詩人訓練影像分類器--機器學習食譜#6。 (Train an Image Classifier with TensorFlow for Poets - Machine Learning Recipes #6)

43

ml5.js: 聲音分類 (ml5.js: Sound Classification)

14:24

ml5.js: 聲音分類 (ml5.js: Sound Classification)

4

你產生幻覺的真正原因 (The Real Reason You Hallucinate)

04:53

你產生幻覺的真正原因 (The Real Reason You Hallucinate)

52

中文 B2 中高級

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

TensorFlow Lite for on-device ML (TensorFlow Meets) (TensorFlow Lite for on-device ML (TensorFlow Meets))

07:24

TensorFlow Lite for on-device ML (TensorFlow Meets) (TensorFlow Lite for on-device ML (TensorFlow Meets))

2

Swift for TensorFlow (TF World '19) (Swift for TensorFlow (TF World '19))

39:21

Swift for TensorFlow (TF World '19) (Swift for TensorFlow (TF World '19))

2

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

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

週三之王鄭健萬福！ (All Hail Ken Jeong, King of Wednesdays)

08:24

週三之王鄭健萬福！ (All Hail Ken Jeong, King of Wednesdays)

6

中文 B1 中級

TensorFlow高級API。第3部分 - 構建和完善你的模型 (TensorFlow high-level APIs: Part 3 - Building and refining your models)

07:26

TensorFlow高級API。第3部分 - 構建和完善你的模型 (TensorFlow high-level APIs: Part 3 - Building and refining your models)

2

Dyad X Machina：將情感帶入機器學習（TensorFlow Meets）。 (Dyad X Machina: bringing emotion into machine learning (TensorFlow Meets))

10:48

Dyad X Machina：將情感帶入機器學習（TensorFlow Meets）。 (Dyad X Machina: bringing emotion into machine learning (TensorFlow Meets))

5

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

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

Swift for TensorFlow：下一代機器學習框架（TF Dev Summit '19）。 (Swift for TensorFlow: The Next-Generation Machine Learning Framework (TF Dev Summit '19))

31:22

Swift for TensorFlow：下一代機器學習框架（TF Dev Summit '19）。 (Swift for TensorFlow: The Next-Generation Machine Learning Framework (TF Dev Summit '19))

4

尖端TensorFlow：新技術（Google I/O'19) (Cutting Edge TensorFlow: New Techniques (Google I/O'19))

37:32

尖端TensorFlow：新技術（Google I/O'19) (Cutting Edge TensorFlow: New Techniques (Google I/O'19))

2