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Name: Alfandi Firnando
Type: User
Name: Alfandi Firnando
Type: User
Ini merupakan projek Tugas Akhir saya dengan judul “Penerapan Deep Learning Menggunakan Convolutional Neural Network Dengan Arsitektur EfficientNet untuk klasifikasi Alzheimer”. Penelitian ini melakukan klasifikasi data Magnetic Resonance Imaging (MRI) Alzheimer menggunakan metode CNN dengan arsitektur EfficientNet-B0. Dataset yang digunakan berjumlah 6400 citra MRI Alzheimer. Eksperimen dilakukan dengan beberapa skenario resolusi citra, jenis optimizer serta kombinasi dari jumlah neuron pada dense layer. Hasil dari evaluasi model dengan confusion matrix mendapatkan AUC validasi tertinggi pada eksperimen dengan skenario resolusi citra 224 x 224 pixels dengan optimizer RMSProp dan neuron pada dense layer berjumlah 512, 256 yang menghasilkan AUC mencapai 96.7%.
Format Laporan Machine Learning Terapan
Google IT Automation with Python Professional Certificate - Practice files
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