This tutorial is designed to easily learn TensorFlow for time series prediction. Each tutorial subject includes both code and notebook with descriptions.

• Classification for MNIST using RNN (notebook)

• Prediction for sine wave function using Gaussian process (code / notebook)
• Prediction for sine wave function using RNN (code / notebook)
• Prediction for electricity price (code / notebook)

• Slides on slideshare (TensorFlow-KR Meetup)
• Slides on github (KSC 2016 Tutorial)

Python (3.4.4)
TensorFlow (r0.9)
numpy (1.11.1)
pandas (0.16.2)
cuda (to run examples on GPU)

• Energy Price Forecast 2016: http:https://complatt.smartwatt.net
• Or use the uploaded csv file for price history for 2015.

• tf:split_squeeze is deprecated and will be removed after 2016-08-01. Use tf.unpack instead.
• tf:dnn is deprecated and will be removed after 2016-08-01. Use tf.contrib.layers.stack instead.

Now I am working on modifying previous source code for tensorflow ver. 0.10.0rc0.