| Version | |
| Descargar | 16 |
| Vistas totales | 184 |
| Stock | ∞ |
| Tamaño del archivo | 1.61 MB |
| File Type |  |
| Fecha de Creación | 7/9/2017 |
| Última actualización | 12/3/2020 |
This internal technical document reports the hyper-parametric search for the proposed Neural Network model using Tensorflow and Finis Terrae II. The NN model helps to manage the process of Laser Metal Deposition based on the thermal images from a thermal camera attached to the laser header that record a complete process. This case is an example of using HPC infrastructures for designing Neural Networks models and finding the best parameters for training them.