Using Neural Networks to Inform Architectural Design
Recent advancements in artificial intelligence and deep learning have created opportunities for design experimentation through the use of neural networks. Deep learning algorithms are meant to mimic the structure and function of the human brain and are constructed using neural networks. These neural networks can be fed data to produce outputs.
This project experimented with neural networks to generate a variety of visual compositions. The 2D visual compositions produced were then used to inform 3D architectural designs.