The Basic Concept of TensorFlow

I am preparing to teach TensorFlow in my graduate course. TensorFlow is Google's open software library for machine learning. The first class is about the basic concept of TensorFlow.

http://web.donga.ac.kr/yjko/usefulthings/TensorFlow-Basic-Concept_Ko.pdf

Next topic is about "Practice of NNet with the MNIST data."

Spoken Language Understanding

One of my research areas is about Dialogues Systems. Nowadays, I am arranging  my work in this research into several ppt files. The following pdf file is the first summary of my work and its topic is Spoken Language Understanding (SLU).

http://web.donga.ac.kr/yjko/talks/SLU(Youngjoong Ko).pdf

I will try to post about Dialogue Modeling.

Multilayer Perceptron

This is my second ppt and Python code for studying Multilayer Perceptron (MLP) and the Back-propagation algorithm. Actually, this will be used in my Artificial Intelligent class.

Please check out the following links.

http://web.donga.ac.kr/yjko/usefulthings/Multilayer-Perceptron_Ko.pdf
http://web.donga.ac.kr/yjko/src/mlp.py

The next topic is "Introduction of Tensorflow."

Perceptron

Deep Learning becomes so popular these days, and people who want to study deep learning have to know Python, Perceptron, Multilayer Perceptron (MLP) and the Backpropagation algorithm. So I will make ppt materials including these topics. Actually, this will be used in my Artificial Intelligent class.

Please check out the following links.

This is the first ppt material for Perceptron and a Python code for practice.

http://web.donga.ac.kr/yjko/usefulthings/Perceptron_Ko.pdf
http://web.donga.ac.kr/yjko/src/perceptron.py

And you can start to study Python and Numpy from this:

http://cs231n.github.io/python-numpy-tutorial/ 

The next topic is Multilayer Perceptron.