compile

The “compile” step: Configuring the learning process

library(keras3)

Optimizers:

ls(pattern = "^optimizer_", "package:keras3")

 [1] "optimizer_adadelta"   "optimizer_adafactor"  "optimizer_adagrad"   
 [4] "optimizer_adam"       "optimizer_adam_w"     "optimizer_adamax"    
 [7] "optimizer_ftrl"       "optimizer_lamb"       "optimizer_lion"      
[10] "optimizer_loss_scale" "optimizer_muon"       "optimizer_nadam"     
[13] "optimizer_rmsprop"    "optimizer_sgd"       

Losses:

ls(pattern = "^loss_", "package:keras3")

 [1] "loss_binary_crossentropy"                  
 [2] "loss_binary_focal_crossentropy"            
 [3] "loss_categorical_crossentropy"             
 [4] "loss_categorical_focal_crossentropy"       
 [5] "loss_categorical_generalized_cross_entropy"
 [6] "loss_categorical_hinge"                    
 [7] "loss_circle"                               
 [8] "loss_cosine_similarity"                    
 [9] "loss_ctc"                                  
[10] "loss_dice"                                 
[11] "loss_hinge"                                
[12] "loss_huber"                                
[13] "loss_kl_divergence"                        
[14] "loss_log_cosh"                             
[15] "loss_mean_absolute_error"                  
[16] "loss_mean_absolute_percentage_error"       
[17] "loss_mean_squared_error"                   
[18] "loss_mean_squared_logarithmic_error"       
[19] "loss_poisson"                              
[20] "loss_sparse_categorical_crossentropy"      
[21] "loss_squared_hinge"                        
[22] "loss_tversky"                              

Metrics:

ls(pattern = "^metric_", "package:keras3")

 [1] "metric_auc"                              
 [2] "metric_binary_accuracy"                  
 [3] "metric_binary_crossentropy"              
 [4] "metric_binary_focal_crossentropy"        
 [5] "metric_binary_iou"                       
 [6] "metric_categorical_accuracy"             
 [7] "metric_categorical_crossentropy"         
 [8] "metric_categorical_focal_crossentropy"   
 [9] "metric_categorical_hinge"                
[10] "metric_concordance_correlation"          
[11] "metric_cosine_similarity"                
[12] "metric_f1_score"                         
[13] "metric_false_negatives"                  
[14] "metric_false_positives"                  
[15] "metric_fbeta_score"                      
[16] "metric_hinge"                            
[17] "metric_huber"                            
[18] "metric_iou"                              
[19] "metric_kl_divergence"                    
[20] "metric_log_cosh"                         
[21] "metric_log_cosh_error"                   
[22] "metric_mean"                             
[23] "metric_mean_absolute_error"              
[24] "metric_mean_absolute_percentage_error"   
[25] "metric_mean_iou"                         
[26] "metric_mean_squared_error"               
[27] "metric_mean_squared_logarithmic_error"   
[28] "metric_mean_wrapper"                     
[29] "metric_one_hot_iou"                      
[30] "metric_one_hot_mean_iou"                 
[31] "metric_pearson_correlation"              
[32] "metric_poisson"                          
[33] "metric_precision"                        
[34] "metric_precision_at_recall"              
[35] "metric_r2_score"                         
[36] "metric_recall"                           
[37] "metric_recall_at_precision"              
[38] "metric_root_mean_squared_error"          
[39] "metric_sensitivity_at_specificity"       
[40] "metric_sparse_categorical_accuracy"      
[41] "metric_sparse_categorical_crossentropy"  
[42] "metric_sparse_top_k_categorical_accuracy"
[43] "metric_specificity_at_sensitivity"       
[44] "metric_squared_hinge"                    
[45] "metric_sum"                              
[46] "metric_top_k_categorical_accuracy"       
[47] "metric_true_negatives"                   
[48] "metric_true_positives"