Neural Networks

You can download the notebook version here:

Below you can find the overview of the tutorials.

1. Introduction

4. Conclusions

2. Model and Performance

3. Loss Function

Neural Networks (Multi-layer)

Example Master and PhD Projects

Neural Networks

Deep Generative Design: A Deep Learning Framework for Optimized Spatial Truss Structures with Stock Constraints by Amy Sterrenberg (2023)

ClimAIte Control by Sebastian Stripp (2023)

Design exploration of quantitative performance and geometry typology for indoor arena based on self-organizing map and multi-layered perceptron neural network by Wang Pan, Yimin Sun, Michela Turrin, Christian Louter, Sevil Sariyildiz (2020)

A Methodology for daylight optimisation of high-rise buildings in the dense urban district using overhang length and glazing type variables with surrogate modelling by Berk Ekici, Tuğçe Kazanasmaz, Michela Turrin, M. Fatih Tasgetiren, I. Sevil Sariyildiz (2019)

Convolutional Neural Networks

Automated rooftop solar panel detection through Convolutional Neural Networks by Simon Pena Pereira (2023)

Crosswalk detection for the outdoor navigation of people with visual impairment by Odyssefs Karatzaferis (2022)

Sight-Seeing in the Eyes of Deep Neural Networks by Khademi, Seyran; Shi, Xiangwei; Mager, Tino; Siebes, Ronald; Hein, Carola; De Boer, Victor; Van Gemert, Jan (2018)