Additionally, hardware manufacturers are designing NPUs (Neural Processing Units) specifically optimized for the 21x40 matrix multiplication pattern. This will likely reduce inference time to under 1 millisecond by 2026. The Bobbie-Model-21-40 is not a general-purpose miracle; it is a precision tool. If your application involves processing exactly 21 structured data points to make a decision among up to 40 clear categories, this model is arguably the best option available today. It offers a rare combination of speed, accuracy, and frugality.
from bobbie_ml import BobbieModel2140 model = BobbieModel2140( input_features=21, output_classes=40, hidden_layers=[128, 64, 32], dropout_rate=0.3 ) Bobbie-model- 21-40
Ensure your input dataset has exactly 21 relevant features. If you have fewer, use zero-padding. If you have more, run a feature selection algorithm (like PCA or mutual information) to reduce to 21. If you have fewer, use zero-padding
pip install bobbie-ml