1. Abadi M, Agarwal A, Barham P, Brevdo E, Chen Z, Citro C, Corrado GS, Davis A, Dean J, Devin M, Ghemawat S, Goodfellow I, Harp A, Irving G, Isard M, Jia Y, Jozefowicz R, Kaiser L, Kudlur M, Levenberg J, Mane D, Monga R, Moore S, Murray D, Olah C, Schuster M, Shlens J, Steiner B, Sutskever I, Talwar K, Tucker P, Vanhoucke V, Vasudevan V, Viegas F, Vinyals O, Warden P, Wattenberg M, Wicke M, Yu Y, Zheng X (2016) TensorFlow: large-scale machine learning on heterogeneous distributed systems. arXiv:1603.04467
2. Alwosheel A, van Cranenburgh S, Chorus CG (2018) Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis. J Choice Model 28:167–182. https://doi.org/10.1016/j.jocm.2018.07.002
3. Brake DJ (2013) Fire modelling in underground mines using Ventsim Visual VentFIRE Software. In: The Australian Mine Ventilatoin Conference. Adelaide
4. Buffington T, Cabrera JM, Kurzawski A, Ezekoye OA (2020) Deep-learning emulators of transient compartment fire simulations for inverse problems and room-scale calorimetry. Fire Technol. https://doi.org/10.1007/s10694-020-01037-2
5. Chollet F (2015) Keras. https://github.com/fchollet/keras