##  Description
- The goal is to achieve high accuracy on a given dataset.
- You can use any network and any training tricks.
- You can use pre-trained models
- To prevent using extensive GPU resources, you should use a network that can be trained by using the resources provided by Google Colab (Other resources are strictly not allowed).
- Please set your team name  as your name,  shown in your CV.
- For any queries, you can post them on the [discussion Section](https://www.kaggle.com/c/deeplearningclassificationtask/discussion)

For guidance and sample code, you can download [this ipynb file](https://drive.google.com/file/d/1nJNZ61ZgQPswTarB5J7PgyimB8e_DP_s/view?usp=sharing), upload it on your google colab ([How to upload ipynb file on google colab](https://www.youtube.com/watch?v=uEFsQkhrAOA)) and everything is mentioned in the file. If you face any issue, post question in [discussion](https://www.kaggle.com/c/deeplearningclassificationtask/discussion) or just send an email to teerathkumar@khu.ac.kr

Don't forget to read the [FAQs section](https://www.kaggle.com/c/deeplearningclassificationtask/overview/faqs). 

**Note: There are 10 submissions per day.**