All Classes and Interfaces
Class
Description
Represents an activation function applied to an
NDArray.Collection of common activation functions used in neural networks.
A utility class providing core linear algebra operations on
NDArray objects,
including vector and matrix computations such as dot products, matrix multiplication,
transposition, norms, determinants, inverses, and identity matrix creation.Binary Logistic Regression implemented using numpy4j NDArray.
A lightweight, high-performance Java implementation of a multidimensional array,
inspired by Python's NumPy ndarray.