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

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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

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

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

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

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

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

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

兩分鐘論文--用輟學訓練深度神經網絡。 (Two Minute Papers - Training Deep Neural Networks With Dropout)

03:29

兩分鐘論文--用輟學訓練深度神經網絡。 (Two Minute Papers - Training Deep Neural Networks With Dropout)

75

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

ml5.js：用像素作為輸入來訓練神經網絡。 (ml5.js: Train a Neural Network with Pixels as Input)

18:38

ml5.js：用像素作為輸入來訓練神經網絡。 (ml5.js: Train a Neural Network with Pixels as Input)

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

TensorFlow中的神經結構化學習(TF World '19) (Neural structured learning in TensorFlow (TF World '19))

42:30

TensorFlow中的神經結構化學習(TF World '19) (Neural structured learning in TensorFlow (TF World '19))

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

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

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

構建神經網絡模型--《星際爭霸II》中的Python AI教程第10頁 (Building Neural Network Model - Python AI in StarCraft II tutorial p.10)

13:37

構建神經網絡模型--《星際爭霸II》中的Python AI教程第10頁 (Building Neural Network Model - Python AI in StarCraft II tutorial p.10)

3

使用神經網絡打敗小行星遊戲 - JavaScript教程 (Beat Asteroids Game Using a Neural Network - JavaScript Tutorial)

113:24

使用神經網絡打敗小行星遊戲 - JavaScript教程 (Beat Asteroids Game Using a Neural Network - JavaScript Tutorial)

4

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

但什麼是神經網絡？ (But what is a Neural Network?)

19:13

但什麼是神經網絡？ (But what is a Neural Network?)

237

中文 B1 中級

構建神經網絡訓練數據--《星際爭霸II》中的Python AI教程第9頁 (Building Neural Network Training data - Python AI in StarCraft II tutorial p.9)

24:53

構建神經網絡訓練數據--《星際爭霸II》中的Python AI教程第9頁 (Building Neural Network Training data - Python AI in StarCraft II tutorial p.9)

2

構建影像分類器（ML Zero to Hero，第4部分）。 (Build an image classifier (ML Zero to Hero, part 4))

05:27

構建影像分類器（ML Zero to Hero，第4部分）。 (Build an image classifier (ML Zero to Hero, part 4))

1

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

卷積神經網絡介紹(ML Zero to Hero，第三部分) (Introducing convolutional neural networks (ML Zero to Hero, part 3))

05:33

卷積神經網絡介紹(ML Zero to Hero，第三部分) (Introducing convolutional neural networks (ML Zero to Hero, part 3))

1

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

構建一個神經網絡來執行分類｜TensorFlow.js (Coding TensorFlow) (Build a neural network to perform classification | TensorFlow.js (Coding TensorFlow))

07:45

構建一個神經網絡來執行分類｜TensorFlow.js (Coding TensorFlow) (Build a neural network to perform classification | TensorFlow.js (Coding TensorFlow))

2

基礎計算機視覺與ML(ML Zero to Hero，第二部分) (Basic Computer Vision with ML (ML Zero to Hero, part 2))

07:24

基礎計算機視覺與ML(ML Zero to Hero，第二部分) (Basic Computer Vision with ML (ML Zero to Hero, part 2))

1

訓練模型來識別文本中的情感（NLP Zero to Hero，第三部分）。 (Training a model to recognize sentiment in text (NLP Zero to Hero, part 3))

08:35

訓練模型來識別文本中的情感（NLP Zero to Hero，第三部分）。 (Training a model to recognize sentiment in text (NLP Zero to Hero, part 3))

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

ml5.js：保存/加載模型。 (ml5.js: Save/Load Model)

12:08

ml5.js：保存/加載模型。 (ml5.js: Save/Load Model)

4

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

TensorFlow World 2019 | 第2天生活流 PM (TensorFlow World 2019 | Day 2 Livestream PM)

260:18

TensorFlow World 2019 | 第2天生活流 PM (TensorFlow World 2019 | Day 2 Livestream PM)

3

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

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

準備你的數據的ML | 文本分類教程Pt.1 (編碼TensorFlow) (Prepare your data for ML | Text Classification Tutorial Pt. 1 (Coding TensorFlow))

04:25

準備你的數據的ML | 文本分類教程Pt.1 (編碼TensorFlow) (Prepare your data for ML | Text Classification Tutorial Pt. 1 (Coding TensorFlow))

1

ml5.js.PoseNet和ml5.neuralNetwork()的姿勢分類使用PoseNet和ml5.neuralNetwork()進行姿勢分類。 (ml5.js: Pose Classification with PoseNet and ml5.neuralNetwork())

26:34

ml5.js.PoseNet和ml5.neuralNetwork()的姿勢分類使用PoseNet和ml5.neuralNetwork()進行姿勢分類。 (ml5.js: Pose Classification with PoseNet and ml5.neuralNetwork())

3

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

一個老問題--第5集（深度學習SIMPLIFIED）。 (An Old Problem - Ep. 5 (Deep Learning SIMPLIFIED))

05:25

一個老問題--第5集（深度學習SIMPLIFIED）。 (An Old Problem - Ep. 5 (Deep Learning SIMPLIFIED))

1312

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

序列--把句子變成數據（NLP Zero to Hero，第二部分）。 (Sequencing - Turning sentence into data (NLP Zero to Hero, part 2))

06:26

序列--把句子變成數據（NLP Zero to Hero，第二部分）。 (Sequencing - Turning sentence into data (NLP Zero to Hero, part 2))

6

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

貓VS狗？讓我們做一個AI來解決這個問題。速成班Ai第19期 (Cats Vs Dogs? Let's make an AI to settle this: Crash Course Ai #19)

13:05

貓VS狗？讓我們做一個AI來解決這個問題。速成班Ai第19期 (Cats Vs Dogs? Let's make an AI to settle this: Crash Course Ai #19)

80

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

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

瞭解神經網絡 (Understanding neural networks)

03:07

瞭解神經網絡 (Understanding neural networks)

35

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

TensorFlow 2.0速成班 (TensorFlow 2.0 Crash Course)

133:17

TensorFlow 2.0速成班 (TensorFlow 2.0 Crash Course)

2