pyml.neural_network.loss

Loss Functions Module

This package contains various loss functions commonly used in neural network training. Each loss function is implemented as a separate module within the package.

pyml.neural_network.loss.binary_cross_entropy	Module defining the Binary Cross-Entropy class for binary classification tasks.
pyml.neural_network.loss.categorical_cross_entropy	Module defining the Categorical Cross-Entropy class for multi-class classification tasks.
pyml.neural_network.loss.mean_absolute_error	Module defining the Mean Squared Error class for mean squared error loss.
pyml.neural_network.loss.mean_squarred_error	Module defining the Mean Squared Error class for mean squared error loss.
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.