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Sistem Rekomendasi Berbasis Gambar Produk E-Commerce Kalcare.com Menggunakan Deep Learning

Proposal Tesis - Trenggana Natadirja

Outline

Outline

Latar Belakang

Studi Literatur

Metode Penelitian

Latar Belakang

Over the last 10 years, several CNN architectures have been presented [21, 26]. Model architecture is a critical factor in improving the performance of different applications. Various modifications have been achieved in CNN architecture from 1989 until today. Such modifications include structural reformulation, regularization, parameter optimizations, etc. Conversely, it should be noted that the key upgrade in CNN performance occurred largely due to the processing-unit reorganization, as well as the development of novel blocks. In particular, the most novel developments in CNN architectures were performed on the use of network depth. In this section, we review the most popular CNN architectures, beginning from the AlexNet model in 2012 and ending at the High-Resolution (HR) model in 2020.

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