ADVANCED EXPLAINABLE DEEP LEARNING MODELS FOR IMAGE CLASSIFICATION

• Main Author: Irawan, Mellisa
• Format: Final Project
• Language: Indonesia
• Subjects: Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
• Online Access: https://digilib.itb.ac.id/gdl/view/75059
• Institution: Institut Teknologi Bandung

This research focuses on the application of DenseNet121 neural network architecture to address two distinct classification problems and deploy SHAP, GradCAM, and SmoothGrad as the explainability model. The primary purpose of this work is to create a software to classify oil palm fresh fruit bunc...