Train a Network#

This tutorial shows basic model training routines, followed by guidance on how to evaluate, save and re-load the trained model. Finally, it shows how to analyze saved data offline.

Structure of the tutorial

I. Introduction
II. Building the model

1. Effector and Environment instances

2. Building the network

III. Evaluating performance
IV. Saving the model
V. Loading the model

1. The configuration file

2. Training history

3. The model itself

VI. Evaluating the loaded model