activation_leaky_relu   Leaky Rectified Linear Unit Activation Function
activation_linear       Linear Activation Function
activation_relu         Rectified Linear Unit Activation Function
activation_sigmoid      Sigmoid Activation Function
activation_softmax      Softmax Activation Function
activation_tanh         Hyperbolic Tangent Activation Function
as_activation           Convert Character Input to an Activation Object
as_loss                 Convert Character Input to a Loss Object
as_metric               Convert Character Input to a Metric Object
as_metrics              Convert Multiple Inputs to Metric Objects
as_optimizer            Convert Character Input to an Optimizer Object
available_activations   List Available Activation Functions
available_gradient_optimizers
                        List Available Gradient-Based Optimizers
available_losses        List Available Loss Functions
available_metaheuristics
                        List Available Metaheuristic Optimizers
available_metrics       List Available Performance Metrics
available_optimizers    List Available Optimizers
coef.met_optimize_result
                        Extract the Best Parameters from a metANN
                        Optimization Result
coef.metann             Extract Weights from a metANN Model
count_parameters        Count the Number of Trainable Parameters in an
                        MLP Architecture
decode_weights          Decode an MLP Weight Vector
dense_layer             Create a Dense Layer
evaluate                Evaluate a metANN Model
forward_pass            Forward Pass for an MLP
initialize_weights      Initialize MLP Weights
is_activation           Check Whether an Object is a metANN Activation
is_architecture         Check Whether an Object is a metANN
                        Architecture
is_dense_layer          Check Whether an Object is a Dense Layer
is_layer                Check Whether an Object is a metANN Layer
is_loss                 Check Whether an Object is a metANN Loss
is_metric               Check Whether an Object is a metANN Metric
is_mlp_architecture     Check Whether an Object is an MLP Architecture
is_optimizer            Check Whether an Object is a metANN Optimizer
loss_binary_crossentropy
                        Binary Cross-Entropy Loss
loss_crossentropy       Categorical Cross-Entropy Loss
loss_huber              Huber Loss
loss_log_cosh           Log-Cosh Loss
loss_mae                Mean Absolute Error Loss
loss_mse                Mean Squared Error Loss
met_mlp                 Train a Feed-Forward Multilayer Perceptron
met_optimize            General-Purpose Optimization
metann                  Train an Artificial Neural Network with metANN
metric_accuracy         Accuracy Metric
metric_f1               F1 Score Metric
metric_mae              Mean Absolute Error Metric
metric_mse              Mean Squared Error Metric
metric_precision        Precision Metric
metric_r2               Coefficient of Determination Metric
metric_recall           Recall Metric
metric_rmse             Root Mean Squared Error Metric
mlp_architecture        Create an MLP Architecture
optimizer_abc           Artificial Bee Colony Optimizer
optimizer_adam          Adam Optimizer
optimizer_de            Differential Evolution Optimizer
optimizer_ga            Genetic Algorithm Optimizer
optimizer_gwo           Grey Wolf Optimizer
optimizer_hybrid        Hybrid Optimizer
optimizer_info          Get Optimizer Information
optimizer_pso           Particle Swarm Optimization Optimizer
optimizer_sboa          Secretary Bird Optimization Algorithm Optimizer
optimizer_sgd           Stochastic Gradient Descent Optimizer
optimizer_tlbo          Teaching-Learning-Based Optimization Optimizer
optimizer_woa           Whale Optimization Algorithm Optimizer
plot.met_optimize_result
                        Plot Optimization Convergence
plot.metann             Plot a metANN Model
plot_network            Plot Neural Network Architecture
predict.metann          Predict with a metANN Model
print.met_dense_layer   Print a Dense Layer
print.met_mlp_architecture
                        Print an MLP Architecture
print.met_optimize_result
                        Print a metANN Optimization Result
print.met_optimizer     Print a metANN Optimizer
print.met_optimizer_info
                        Print Optimizer Information
print.metann            Print a metANN Model
print.metann_evaluation
                        Print metANN Evaluation Results
summary.met_optimize_result
                        Summarize a metANN Optimization Result
summary.metann          Summarize a metANN Model
