🧠 Daily Study Log [2025-09-10]
Studied classical cryptography and positive psychology in class, and advanced my personal project on garbage classification by experimenting with CNNs and transfer learning.

📚 Classes

• 암호의 이해: Learned about classical ciphers such as multiplicative and additive ciphers, and discussed their inherent weaknesses.
• 행복심리학: Explored the definition of happiness, how it is understood globally, and the genetic conditions that may influence happiness.

💻 Personal Project

• Initiated a new project: Garbage Classification
• Downloaded and prepared dataset for recyclable waste classification.
• Implemented a Baseline CNN model → achieved ~60% accuracy.
• Improved the CNN with regularization techniques (Dropout, BatchNorm) → reached ~70% accuracy.
• Explored Transfer Learning: initially tried ResNet, but ultimately used MobileNetV2 → achieved ~80%+ accuracy, outperforming baseline models.

✅ TL;DR

📍 Learned about classical cryptography weaknesses in “Understanding Cryptography” class
📍 Studied happiness definitions and genetic influences in “Positive Psychology” class
📍 Advanced garbage classification project with:

• Baseline CNN (~60%)
• Improved CNN (~70%)
• Transfer Learning (ResNet tried, MobileNetV2 used → ~80%+)