Code used for predicting continuous high-density laser ray-tracing results using deep learning techniques. To be used in VR modules for Clean energy research and STEM outreach.
Isaac Whittaker, Jacob Braswell (@jocobtt), Tyki Wada (@tykiww)
- Full Factorial Design including noise (Cartesian Product with Gaussian blur in SAS/python)
- Latin Hypercube Design (pyDOE)
- Image Storage in hdf5 as numpy arrays (24000 images, 448MB)
- Labels as X input in CSV
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BYU Supercomputer access
- Pyspark executed on Slurm batches
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Google Colab
- Python3 on tensorflow GPU (TPU)
- Deep Convolutional Generator (DCG)
- Regular Keras sequential model (forward fully-connected model)
(Proprietary information (ie. packages, models) excluded)