Deep Learning Outline

Difference between traditional ML and Deep Learning

• Features are extracted using human intuition in traditional ML
• Feature extraction is parameterized and handled by a model in deep learning
• Relatively larger number of parameters are used in deep learning

Why deep learning?

• Various methods and modeling, big datasets are made for better feature extraction
  • Large Dataset
  • Self-supervised Learning
    • Pretrained Model