# Kyung Hee University AI7005-00 Deep Learning Lecture Project Challenge

- The goal of this challenge is to achieve high performance in a given dataset using techniques learned in the lecture.
- You can use any neural networks and find your own model architecture to find out how to achieve optimal performance.
- To prevent using a lot of GPU resources, you should use a network that can train by using the resources provided by Google Colab.
- The baseline is the ResNet-18 result trained on Google Colab from TA and this code will be provided for all.