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

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一個神經網絡的深層夢想 (A Deep Dream of a Neural Network)

02:26

一個神經網絡的深層夢想 (A Deep Dream of a Neural Network)

9

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

使用TensorFlow對服裝影像進行分類（Coding TensorFlow）。 (Use TensorFlow to classify clothing images (Coding TensorFlow))

07:42

使用TensorFlow對服裝影像進行分類（Coding TensorFlow）。 (Use TensorFlow to classify clothing images (Coding TensorFlow))

9

使用TensorFlow進行深度學習 - 歡迎 (Deep Learning with TensorFlow - Welcome)

02:18

使用TensorFlow進行深度學習 - 歡迎 (Deep Learning with TensorFlow - Welcome)

94

深度神經網絡是如何工作的--初學者全課程 (How Deep Neural Networks Work - Full Course for Beginners)

230:57

深度神經網絡是如何工作的--初學者全課程 (How Deep Neural Networks Work - Full Course for Beginners)

1

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

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

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

TF-Agents.A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19)TensorFlow的靈活強化學習庫（Google I/O'19) (TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19))

39:10

TF-Agents.A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19)TensorFlow的靈活強化學習庫（Google I/O'19) (TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19))

3

讓我們做一個摧毀電子遊戲的人工智能。"速成班人工智能 "第13期 (Let's make an AI that destroys video games: Crash Course AI #13)

13:26

讓我們做一個摧毀電子遊戲的人工智能。"速成班人工智能 "第13期 (Let's make an AI that destroys video games: Crash Course AI #13)

5

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

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

一熱編碼的演示（TensorFlow一週小技巧）。 (A demo of One Hot Encoding (TensorFlow Tip of the Week))

04:33

一熱編碼的演示（TensorFlow一週小技巧）。 (A demo of One Hot Encoding (TensorFlow Tip of the Week))

6

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

介紹OpenVINO和計算機視覺｜物聯網開發者秀第二季｜英特爾軟件 (Introducing OpenVINO and Computer Vision | IoT Developer Show Season 2 | Intel Software)

05:09

介紹OpenVINO和計算機視覺｜物聯網開發者秀第二季｜英特爾軟件 (Introducing OpenVINO and Computer Vision | IoT Developer Show Season 2 | Intel Software)

12

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

用Python、TensorFlow和Keras進行深度學習教程 (Deep Learning with Python, TensorFlow, and Keras tutorial)

20:34

用Python、TensorFlow和Keras進行深度學習教程 (Deep Learning with Python, TensorFlow, and Keras tutorial)

67

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

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

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

長期模型結果--用卡拉和Python自動駕駛汽車第6頁。 (Longer-term model results - Self-driving cars with Carla and Python p.6)

20:26

長期模型結果--用卡拉和Python自動駕駛汽車第6頁。 (Longer-term model results - Self-driving cars with Carla and Python p.6)

2

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

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

神經網絡，第三部分!- CS50 Live，EP.58 (NEURAL NETWORKS, PART 3! - CS50 Live, EP. 58)

126:30

神經網絡，第三部分!- CS50 Live，EP.58 (NEURAL NETWORKS, PART 3! - CS50 Live, EP. 58)

JavaScript和AI的未來，阿西姆-侯賽因｜JSConf.Asia 2019年。 (The Future of JavaScript and AI by Asim Hussain | JSConf.Asia 2019)

33:50

JavaScript和AI的未來，阿西姆-侯賽因｜JSConf.Asia 2019年。 (The Future of JavaScript and AI by Asim Hussain | JSConf.Asia 2019)

1

我們離完美的深度假貨有多近？ (How Close Are We to the Perfect Deepfake?)

06:03

我們離完美的深度假貨有多近？ (How Close Are We to the Perfect Deepfake?)

7

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

安妮的故事。從學生到星球獵人 (Anne’s Story: From student to planet hunter)

02:59

安妮的故事。從學生到星球獵人 (Anne’s Story: From student to planet hunter)

3

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

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

工具包介紹｜英特爾發行的OpenVINO工具包｜eWorkshop｜英特爾軟件 (Toolkit Introduction | Intel Distribution of OpenVINO Toolkit | eWorkshop | Intel Software)

04:25

工具包介紹｜英特爾發行的OpenVINO工具包｜eWorkshop｜英特爾軟件 (Toolkit Introduction | Intel Distribution of OpenVINO Toolkit | eWorkshop | Intel Software)

20

MIT 6.S094：深度學習和自動駕駛汽車介紹 (MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars)

91:29

MIT 6.S094：深度學習和自動駕駛汽車介紹 (MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars)

224

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

生成式對抗網絡（GANs） - Computerphile (Generative Adversarial Networks (GANs) - Computerphile)

21:21

生成式對抗網絡（GANs） - Computerphile (Generative Adversarial Networks (GANs) - Computerphile)

5

咒語與伊寧石的風格轉換 (Style Transfer using Spell with Yining Shi)

86:41

咒語與伊寧石的風格轉換 (Style Transfer using Spell with Yining Shi)

6

複雜數學結果--非常規神經網絡第12頁 (Complex Math Results - Unconventional Neural Networks p.12)

16:26

複雜數學結果--非常規神經網絡第12頁 (Complex Math Results - Unconventional Neural Networks p.12)

1

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

現場直播#188：ml5.neuralNetwork (Live Stream #188: ml5.neuralNetwork)

176:37

現場直播#188：ml5.neuralNetwork (Live Stream #188: ml5.neuralNetwork)

第1講 | 視覺識別的卷積神經網絡簡介 (Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition)

57:57

第1講 | 視覺識別的卷積神經網絡簡介 (Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition)

153

The Turing Lectures: The future of generative AI

97:37

The Turing Lectures: The future of generative AI

19

這個19歲的年輕人可以讓太空人免受太空垃圾的傷害。 (This 19-year-old can keep astronauts safe from space junk)

04:31

這個19歲的年輕人可以讓太空人免受太空垃圾的傷害。 (This 19-year-old can keep astronauts safe from space junk)

13

李飛飛：我們最聰明的電腦還是盲目的 (Fei-Fei Li: Our smartest computers are still blind)

17:42

李飛飛：我們最聰明的電腦還是盲目的 (Fei-Fei Li: Our smartest computers are still blind)

161

Deep Q Learning w/ DQN - Reinforcement Learning p.5 (Deep Q Learning w/ DQN - Reinforcement Learning p.5)

32:19

Deep Q Learning w/ DQN - Reinforcement Learning p.5 (Deep Q Learning w/ DQN - Reinforcement Learning p.5)

6

用Keras使用TensorBoard（TensorFlow一週小技巧）。 (Using TensorBoard with Keras (TensorFlow Tip of the Week))

01:58

用Keras使用TensorBoard（TensorFlow一週小技巧）。 (Using TensorBoard with Keras (TensorFlow Tip of the Week))

3

在5分鐘內開始使用TensorFlow的高級API | Google I/O 2018 (Get started with TensorFlow's High-Level APIs in 5 mins | Google I/O 2018)

05:15

在5分鐘內開始使用TensorFlow的高級API | Google I/O 2018 (Get started with TensorFlow's High-Level APIs in 5 mins | Google I/O 2018)

3