TensorFlow tutorials for KICS Deep Learning Tool Workshop

This repository contains example source codes and materials for KICS TensorFlow tutorial.

Prerequisite

To run examples, it is required that matplotlib is installed in your system.

> pip install matplotlib

We made this tutorial based on the following websites and materials.

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
04_char_rnn		04_char_rnn
data		data
slides		slides
util		util
01_linear_regression_sol.py		01_linear_regression_sol.py
01_linear_regression_starter.py		01_linear_regression_starter.py
01_multivar_linear_regression_sol.py		01_multivar_linear_regression_sol.py
01_multivar_linear_regression_starter.py		01_multivar_linear_regression_starter.py
02_logistic_regression_WDBC.py		02_logistic_regression_WDBC.py
02_softmax_regression_2D.py		02_softmax_regression_2D.py
02_softmax_regression_spiral2D_solution.py		02_softmax_regression_spiral2D_solution.py
02_softmax_regression_spiral2D_starter.py		02_softmax_regression_spiral2D_starter.py
03_CNN_MNIST.py		03_CNN_MNIST.py
03_MLP_spiral2D.py		03_MLP_spiral2D.py
03_ResNet_MNIST.py		03_ResNet_MNIST.py
03_SRCNN_MNIST.py		03_SRCNN_MNIST.py
03_YourCNN_MNIST_starter.py		03_YourCNN_MNIST_starter.py
04_rnn_hihello_sol.py		04_rnn_hihello_sol.py
04_rnn_hihello_starter.py		04_rnn_hihello_starter.py
LICENSE		LICENSE
README.md		README.md