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Training resource for ProjectDemiurge SOFTWARE
🤖 MAGNETRON ™ TECHNOLOGY ARTIFICIAL INTELLIGENCE (RESEARCH) 🤖
PART OF PROJECT DEMIURGE™ (REALITY MATRIX ™ TECHNOLOGY RESEARCH)
PROPERTY OF ABC 123 DESYGN ™
- FILM PRODUCTION
- TV PRODUCTION
- VFX/CGI
- VIDEO GAME DEVELOPMENT
- SOFTWARE DEVELOPMENT
ProjectDemiurge Software involves training a Convolutional Neural Network (called UNET) to to learn a new concept (someone's face). In this NOTEBOOK, we'll work through setting up Xception (a Convolutional Neural Network) and training the model to classify images of flowers on Google's lightning-fast Cloud TPUs. Our model will take as input a photo of a flower and return whether it is a daisy, dandelion, rose, sunflower, or tulip. This notebook training is not necessary to use the ProjectDemiurge Software and serves as a more advanced training.
We use the Keras framework, new to TPUs in TF 2.1.0.
