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Deep Learning Application

Project Introduction

  • Project Name: Deep Learning with Tensorflow
    • This repository is related to the deep learning experiments in Information Security Lab at Kookmin University.

Contributor

  • Seongmin Jeong (English Name: Allen)

    • Department: Computer Science in Kookmin University (MS Student)
    • Laboratory: Information Security Lab
    • Main Task: Deep Learning, Project Management
  • Youngjae Kim (English Name: Finn)

    • Department: Computer Science in Kookmin University (UROP)
    • Laboratory: Information Security Lab
    • Main Task: Preprocessing, Code Optimization
  • HyeonSeok Kim

    • Department: Computer Science in Kookmin University (UROP)
    • Laboratory: Information Security Lab
    • Main Task: Deep Learning Experiment

Project Components

  • Preprocessing Data
  • Parsing Kaspersky Label for Supervised Learning
  • Deep Learning with Tensorflow

Caution

  1. This project should run using Nvidia-GPU.
  2. The python interpreter that you want to use should install the new package that you need (e.g. numpy, scipy, sklearn).
  3. The all input data will be loaded into memory.

Version update log (will be created)

Usage Manual (will be created)

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  • Python 100.0%