Index A | B | C | D | F | M | P | R | S | T A ActivationLayer (class in custom_neural_net_creator.activation_layer) add() (custom_neural_net_creator.model.Model method) B backward_prop() (custom_neural_net_creator.activation_layer.ActivationLayer method) (custom_neural_net_creator.dense.Dense method) C custom_neural_net_creator.activation_functions module custom_neural_net_creator.activation_layer module custom_neural_net_creator.dense module custom_neural_net_creator.loss_functions module custom_neural_net_creator.model module D Dense (class in custom_neural_net_creator.dense) F fit() (custom_neural_net_creator.model.Model method) forward_prop() (custom_neural_net_creator.activation_layer.ActivationLayer method) (custom_neural_net_creator.dense.Dense method) M mean_squared_error() (in module custom_neural_net_creator.loss_functions) mean_squared_error_derivative() (in module custom_neural_net_creator.loss_functions) Model (class in custom_neural_net_creator.model) module custom_neural_net_creator.activation_functions custom_neural_net_creator.activation_layer custom_neural_net_creator.dense custom_neural_net_creator.loss_functions custom_neural_net_creator.model P predict() (custom_neural_net_creator.model.Model method) print_error() (custom_neural_net_creator.model.Model method) R relu() (in module custom_neural_net_creator.activation_functions) relu_derivative() (in module custom_neural_net_creator.activation_functions) S sigmoid() (in module custom_neural_net_creator.activation_functions) sigmoid_derivative() (in module custom_neural_net_creator.activation_functions) T tanh() (in module custom_neural_net_creator.activation_functions) tanh_prime() (in module custom_neural_net_creator.activation_functions)