DEEP LEARNING APLICATION FOR GUIDING SEQUENCE BOUNDARY PICKING USING 2-D CONVOLUTIONAL NEURAL NETWORK ARCHITECTURE, CASE STUDY: “BAGALVABAL” FIELD, KUTAI BASIN

DEEP LEARNING APLICATION FOR GUIDING SEQUENCE BOUNDARY PICKING USING 2-D CONVOLUTIONAL NEURAL NETWORK ARCHITECTURE, CASE STUDY: “BAGALVABAL” FIELD, KUTAI BASIN

Deep learning has experienced advancements in recent years for processing large-scale data from various disciplines. It possesses a high level of effectiveness, thereby enhancing quality and reducing the required time compared to previous conventional processes. This phenomenon opens up the pote...

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Bibliographic Details
Main Author: Hisyam Tomtowi, Iqbal
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/79184
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Institution: Institut Teknologi Bandung
Language: Indonesia

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