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Dr. Squall Wu
Wjsquallwu@gmail.com
Orange3 Introduction
2Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Dr. Chun-Yi (Squall) Wu
• Massachusetts Institute of Technology
– Smart Manufacturing Program 2019
• Taiwan AI Academy, Hsinchu 2018
• Glass Manufacturing Industry
– Image Classification, Text Mining, Deep Learning
• IBM Research Almaden 2017
– Nature Language Processing (SystemT)
• System Integration Company
– Feature Engineering, Predictive Maintenance, Industry 4.0
• Intellectual Property Service
– Patent Map (Visualization) & Patent Quality (PCA, BPANN)
• NTHU IEEM
– Neural Network, Clustering Algorithm, Genetic Algorithm, etc.
Taiwan AI Academy 校友會 國際交流推動小組
3Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
ML Trend: Visual Programming
4Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
https://orange.biolab.si/
5Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Download
6Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Drag and Drop
7Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Data Type, Data Table
8Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Paint a two-dimensional data set
9Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Preprocess
Distributions
10Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Machine Learning
11Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Hierarchical Clustering supports interactive cluster selection.
12Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Interactive k-Means
13Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Machine Learning
14Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Regression model with Rank
1.人口中地位较低人群的百分数
房價
2.平均每居民房数
3.师生比例
15Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Features Analysis with Scatter Plot
LSTAT 人口中地位较低人群的百分数
越高 房價越低
RM 平均每居民房数
越高 房價越高
16Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Machine Learning
17Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Tree model and Tree Viewer
哺乳類
羽毛
骨頭
鰭
無脊椎
腳
昆蟲 爬蟲類
18Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
A classification task
19Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Neural Network
• Neurons per hidden layer: defined as the
ith element represents the number of
neurons in the ith hidden layer.
• E.g. a neural network with 3 layers can be
defined as 2, 3, 2.
• Activation function for the hidden layer:
– Identity: no-op activation, useful to
implement linear bottleneck
– Logistic: the logistic sigmoid function
– tanh: the hyperbolic tan function
– ReLu: the rectified linear unit function
• Solver for weight optimization:
– L-BFGS-B: an optimizer in the family of
quasi-Newton methods
– SGD: stochastic gradient descent
– Adam: stochastic gradient-based
optimizer
• Alpha: L2 penalty (regularization term)
parameter
• Max iterations: maximum number of
iterations
20Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Finding common misclassifications of different models.
22Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Machine Learning
Image
Clustering
23Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Image Embedding
24Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Embedders
• InceptionV3 is Google’s deep neural network for image recognition. It
is trained on the ImageNet data set. The model we are using is
available here. For the embedding, Orange3 use the activations of the
penultimate layer of the model, which represents images with vectors.
• SqueezeNet is a deep model for image recognition that achieves
AlexNet-level accuracy on ImageNet with 50x fewer parameters. The
model is trained on the ImageNet dataset. Orange3 re-implemented the
SqueezeNet by using weights from the author’s pretrained model.
Orange3 use activations from pre-softmax (flatten10) layer as an
embedding.
• VGG16 and VGG19 are deep neural networks for image recognition
proposed by Visual Geometry Group from the University of Oxford.
They are trained on the ImageNet data set. Orange3 use a community
implementation of networks with original weights. As an embedding,
Orange3 use activations of the penultimate layer - fc7.
25Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Different embedding: Squeeze, Inception v3, VGG16
26Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Image for clustering
27Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Image for tree classification
28Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Image for classification model
29Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
RF & NN
30Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Image embedding for a prediction task
correct
correct
3/4
31Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Machine Learning
Text Mining
& NLP
Image
Clustering
32Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
NY Times
33Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Preprocess Text & Word Cloud
34Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Text Classification
35Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019
Orange3
• 簡易上手的Data Analytics工具
• 可以處理數值,圖片,文字等多型態資料
• 透過Data pipeline,讓你的老闆知道你在做什麼
• 快速比較不同演算法,找到對的方向,再客製化模型
• Add-ons 好用但不太穩定
• 尚不支援CNN,RNN,RL等深度學習

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AIA Hsinchu Orange3

  • 2. 2Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Dr. Chun-Yi (Squall) Wu • Massachusetts Institute of Technology – Smart Manufacturing Program 2019 • Taiwan AI Academy, Hsinchu 2018 • Glass Manufacturing Industry – Image Classification, Text Mining, Deep Learning • IBM Research Almaden 2017 – Nature Language Processing (SystemT) • System Integration Company – Feature Engineering, Predictive Maintenance, Industry 4.0 • Intellectual Property Service – Patent Map (Visualization) & Patent Quality (PCA, BPANN) • NTHU IEEM – Neural Network, Clustering Algorithm, Genetic Algorithm, etc. Taiwan AI Academy 校友會 國際交流推動小組
  • 3. 3Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 ML Trend: Visual Programming
  • 4. 4Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 https://orange.biolab.si/
  • 5. 5Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Download
  • 6. 6Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Drag and Drop
  • 7. 7Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Data Type, Data Table
  • 8. 8Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Paint a two-dimensional data set
  • 9. 9Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Preprocess Distributions
  • 10. 10Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Machine Learning
  • 11. 11Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Hierarchical Clustering supports interactive cluster selection.
  • 12. 12Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Interactive k-Means
  • 13. 13Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Machine Learning
  • 14. 14Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Regression model with Rank 1.人口中地位较低人群的百分数 房價 2.平均每居民房数 3.师生比例
  • 15. 15Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Features Analysis with Scatter Plot LSTAT 人口中地位较低人群的百分数 越高 房價越低 RM 平均每居民房数 越高 房價越高
  • 16. 16Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Machine Learning
  • 17. 17Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Tree model and Tree Viewer 哺乳類 羽毛 骨頭 鰭 無脊椎 腳 昆蟲 爬蟲類
  • 18. 18Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 A classification task
  • 19. 19Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Neural Network • Neurons per hidden layer: defined as the ith element represents the number of neurons in the ith hidden layer. • E.g. a neural network with 3 layers can be defined as 2, 3, 2. • Activation function for the hidden layer: – Identity: no-op activation, useful to implement linear bottleneck – Logistic: the logistic sigmoid function – tanh: the hyperbolic tan function – ReLu: the rectified linear unit function • Solver for weight optimization: – L-BFGS-B: an optimizer in the family of quasi-Newton methods – SGD: stochastic gradient descent – Adam: stochastic gradient-based optimizer • Alpha: L2 penalty (regularization term) parameter • Max iterations: maximum number of iterations
  • 20. 20Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Finding common misclassifications of different models.
  • 21. 22Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Machine Learning Image Clustering
  • 22. 23Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Image Embedding
  • 23. 24Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Embedders • InceptionV3 is Google’s deep neural network for image recognition. It is trained on the ImageNet data set. The model we are using is available here. For the embedding, Orange3 use the activations of the penultimate layer of the model, which represents images with vectors. • SqueezeNet is a deep model for image recognition that achieves AlexNet-level accuracy on ImageNet with 50x fewer parameters. The model is trained on the ImageNet dataset. Orange3 re-implemented the SqueezeNet by using weights from the author’s pretrained model. Orange3 use activations from pre-softmax (flatten10) layer as an embedding. • VGG16 and VGG19 are deep neural networks for image recognition proposed by Visual Geometry Group from the University of Oxford. They are trained on the ImageNet data set. Orange3 use a community implementation of networks with original weights. As an embedding, Orange3 use activations of the penultimate layer - fc7.
  • 24. 25Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Different embedding: Squeeze, Inception v3, VGG16
  • 25. 26Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Image for clustering
  • 26. 27Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Image for tree classification
  • 27. 28Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Image for classification model
  • 28. 29Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 RF & NN
  • 29. 30Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Image embedding for a prediction task correct correct 3/4
  • 30. 31Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Machine Learning Text Mining & NLP Image Clustering
  • 31. 32Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 NY Times
  • 32. 33Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Preprocess Text & Word Cloud
  • 33. 34Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Text Classification
  • 34. 35Manufacturing Technology & Engineering Corning RestrictedDr. Squall Wu 2019 Orange3 • 簡易上手的Data Analytics工具 • 可以處理數值,圖片,文字等多型態資料 • 透過Data pipeline,讓你的老闆知道你在做什麼 • 快速比較不同演算法,找到對的方向,再客製化模型 • Add-ons 好用但不太穩定 • 尚不支援CNN,RNN,RL等深度學習