MLPNeuralNet

Leverages Apple's Accelerate Framework for vectored operations, ensuring fast and efficient predictions on iOS and Mac OS X hardware, as highlighted in the performance benchmarks.

Provides scripts and examples for importing weights from R nnet, Python NeuroLab, neon, and keras, simplifying the deployment of models trained in diverse environments.

Supports configurations with multiple hidden layers or none, making it adaptable for tasks ranging from linear regression to complex neural networks, as shown in the extended example.

Uses double precision for all calculations, enhancing numerical accuracy in prediction tasks, which is crucial for reliable classification and regression outputs.