The process involves creating expert-level synthetic training data, training the SacredGeoModel, and visualizing it using NetworkX. It starts with generating synthetic data capturing complex patterns, splitting it for training and validation, and saving it. Then, it loads, trains, and saves the model before visualizing the network structure.
Tag: keras
Sacred Geometry Inspired Neural Network Model
The SacredGeoModel project utilizes sacred geometry to develop a neural network architecture, incorporating patterns like the Golden Ratio and geometric shapes such as the Seed of Life and Vesica Piscis. Implemented using TensorFlow and Keras, the model explores new approaches to enhance learning and efficiency. The network’s structure can be visualized using NetworkX and Matplotlib. This innovative fusion of ancient geometry and machine learning offers unique insights.
