Deep Learning Fundamentals

🧠 Key Concepts

• Neural Networks
  The building blocks of deep learning, consisting of layers that process data hierarchically.

  

• Data Preprocessing
  Essential steps to clean, normalize, and structure data before training.

  

• Backpropagation & Optimization
  Techniques for adjusting weights and minimizing errors in models.

  

📚 Resources

• Tutorial: Getting Started with Deep Learning
• FAQ: Common Questions About Deep Learning
• Advanced Topics: Deep Learning Architectures

📌 Next Steps

1. Explore activation functions
2. Dive into hyperparameter tuning
3. Learn about deep learning frameworks