Deep Learning - Exercise 12
Learning goal: Understand how to use the LSTM model for sequence prediction
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.