pyml.neural_network.loss.softmax_loss_categorical_cross_entropy

Module defining the Softmax Loss Categorical Cross-Entropy class for combined softmax activation and categorical cross-entropy loss.

This module contains the implementation of the Activation_Softmax_Loss_CategoricalCrossentropy class, which represents the combination of the softmax activation function and the categorical cross-entropy loss. It provides a method for the backward pass computation of the gradient with respect to the predicted values.

Classes

Softmax_CategoricalCrossentropy

Combined Softmax Activation and Categorical Cross-Entropy loss.