Welcome to Deep Learning 101, a foundational course exploring the world of neural networks and artificial intelligence! 🚀

What You'll Learn

  • Basics of neural networks
  • Key concepts like activation functions and backpropagation
  • Applications in image recognition, NLP, and more
  • Hands-on projects using TensorFlow/PyTorch

Course Outline

  1. Introduction to Deep Learning
  2. Neural Network Architecture
  3. Training Models with Backpropagation
  4. Advanced Techniques (CNNs, RNNs, Transformers)
  5. Real-World Projects & Case Studies

Resources

Neural Network
Convolutional Network
Recurrent Network

Let me know if you'd like to dive deeper into any topic! 🌱