Chapter 14: Synthetic terrain generation and AI-generated art
Abstract
This chapter provides an introduction to agent-based modeling [Wiki] and computer vision techniques in Python, diving into the technical details of a specific class of problems. I show how to use generative models based on synthetic data, to simulate terrain evolution or other natural phenomena such as cloud formation or climate change. The material is accessible and targeted to software engineers interested in understanding and applying the machine learning and probabilistic background behind the scene, as well as to machine learning professionals interested in the programming aspects and scientific computing. The end-goal is to help the reader design and implement his own ...
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