NEURAL ARCHITECTURE
Deep dive into the CodeNFacts computational core. Our models utilize multi-head attention and recursive feature refinement.
Input Vector
Raw data ingestion and normalization layer.
Convolutional Base
Feature extraction via multidimensional filters.
Attention Mechanism
Weighted relational mapping and context awareness.
Softmax Output
Probability distribution and classification results.