Transfer Learning

Latex Latex Table Feature Map Visualization Kaggle X-Ray Data representation in Bar Feature Map Check GPU python - plot and save history of kfold training - Stack Overflow Residual Net Model Comparism Curve Classification Report -> cm_report(test_g, model_**) Transfer Learning Plot_ROC_AUC_multiple -> roc_auc_multiple(test_g, model_*, model_*, model_*, model_*, model_*) Define and compile Model_CNN Confusion matrix_report: cm_report(test_g) ROC_AUC -> roc_auc_single(test_g, model_**) Kaggle Confusion Matrix: cm(test_g, model**) Learning rate decay and Weight decay..difference? Show_augmented_Images plot performance Single iteration: plot_performance_single(hist) Save Plot Images Plot Multiple curve_training_validation_accuracy__loss Adding data augmentation right into the model Compile & Training plot_performance helping_function