AI Study Group

🤖 Introduction to RATEL and the AI Study

RATEL is an interdisciplinary studies club at Dankook University. The club was founded in 2024 by a group of peers from the same class, including myself. I currently serve as the AI study leader and have been managing the study sessions since its inception.

In March 2024, the group started with 14 members, and we welcomed 4 new members in September. With no prior experience in AI or coding, I initially faced challenges in managing the study sessions effectively. Nonetheless, I embraced my role as a leader and consistently worked to enhance my knowledge to better support members' questions.

We have now established a structured 3-step study plan as outlined below.

📚 Study Progression

1. Basic MLP (Multi-Layer Perceptron)

   • Book: Make Your Own Neural Network | 신경망 첫걸음
   • Hands-on Project: Build a handwritten digit recognition program.

2. Intermediate MLP & CNN (Convolutional Neural Networks)

   • Book: Deep Learning from Scratch | 밑바닥부터 시작하는 딥러닝
   • Hands-on Project: Evaluate and compare the performance of MLP and CNN models on public image datasets.

3. RNN (Recurrent Neural Networks)

   • Book: Deep Learning from Scratch 2 | 밑바닥부터 시작하는 딥러닝 2
   • Hands-on Project: To be decided.

🎯 Study Goals

• ✅ Build foundational and intermediate knowledge of AI to prepare for the AI-driven future.
• ✅ Gain hands-on experience by writing and implementing code.
• ✅ Collaborate and grow with peers who share similar interests in AI and its applications in medicine.

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📌 If you are interested in organizing an AI study group and need guidance, this repository can serve as a helpful reference.