# Deep Learning - Exercise 12

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Learning goal: Understand how to use the LSTM model for sequence prediction
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## 1. Find example code and get it running

First try to find and run example code that implements a LSTM model in your preferred programming language. Here is one possible start point which uses Keras (Python library on top of TensorFlow/Torch). I installed it using anaconda.

## 2. Train the model on time series data

Generate some artificial time series data or download some time series data and use it to train your LSTM model.

## 3. Evaluate your model

Use your model for prediction and evaluate how good the predicted values are.