Bio

Hi! My name is sunner.

Intro

I'm not just study for study, but getting enthusiastic for dreaming!!! Even though not being a genius, I will keep using my passion and ability to solve the some problem, and help my friends to solve their problem. Maybe I can change the world for a little little bits....

Education

• National Chiao Tung University (2017/09 ~ now)
  Master degree of Institute of Computer Science and Engineering

• National Taipei University (2013/09 ~ 2017/06)
  Bachelor degree of Computer Science and Information Engineering

Skill

1. The fundamental concept about the calculus and probability, including some basic idea about the distribution and its measure which help me to understand the probability view of machine learning.

2. The fundamental concept about the machine learning, including parametric model(LR, Bayesian LR, predictive LR, logistic regression), memory based model(KNN, SVM and GP), combinational model(Decision tree, random forest) and clustering.

3. The fundamental concept about the Deep learning, including discriminative model(DNN, CNN, RNN, Seq2Seq) and generative model(GAN, DCGAN, WGAN)

Tools

The tools/language/framework I can use:

1. C
2. C++
3. Python
4. Keras
5. Native Tensorflow
6. Tensorlayer
7. Git & Markdown
8. English & Chinese

Works / Experiences

Group

1. EasyGuide - A Simple Smart Phone based Guiding System for Visually Impaired People
2. Gerli - An integration accounting system based on sentiment analysis

Indivisual

1. Cup2 - Identify the gate, buildings and butterfly by CNNs
2. MySimpleGirlfriend_2017 - A simple girlfriend bot based on RNN and Seq2seq
3. Embedding-lookdown - A simple tensorlayer extension to deal with the reverse of embedding-lookup

Paper concept implementation

1. RAM - Re-implementation about the paper - Recurrent Models of Visual Attention
2. EDRAM-Tensorflow - Implementation about EDRAM by tensorflow
3. RiR-Tensorflow - Simplified implementation about ResNet in ResNet by tensorflow
4. Simple-Hourglass - Simplified implementation about FCN-8, U-Net and RedNet in tensorflow with simple dataset
5. WGAN-tensorlayer - DCGAN, WGAN and some experiments with tensorlayer

Article or Note

Official publication

• Bor-Shing Lin, Cheng-Che Lee, and Pei-Ying Chiang, "Simple Smartphone-Based Guiding System for Visually Impaired People, " Sensors, vol. 17, no. 6, pp. 1-22, 2017.

Blog

• The story about WGAN [link]
  Keywords: Machine Learning, Deep Learning, Generative Model, Neural Networks, Probability
  Date: Nov 22, 2017
• Simple Introduction about Hourglass-like Model[link]
  Keywords: Machine Learning, Deep Learning, TensorFlow, Neural Networks
  Date: Oct 17, 2017
• An Interesting Idea toward CNN — Residual[link]
  Keywords: Deep Learning, Neural Networks
  Date: Sep 25, 2017
• Visual Attention in Deep Learning[link]
  Keywords: Deep Learning, Neural Networks, Attention
  Date: Sep 10, 2017
• Little observation about Multi-thread & Multi-model Implementation[link]
  Keywords: Deep Learning, TensorFlow
  Date: Jul 7, 2017

Note

• Machine Learning Foundation Note
  Link: here
• Machine Learning Technique
  Link: here
• Pattern Recognition and Machine learning
  Link: here
• The note of Natural Language Processing
  Link: here