Deep Learning is a subfield of machine learning that focuses on algorithms inspired by the structure and function of the brain, called neural networks. 🧠

Key Concepts

  • Neural Networks: Layers of nodes that process data through weighted connections.
    Neural Network
  • Backpropagation: Technique to adjust weights by propagating errors backward through the network.
    Backpropagation
  • Optimization: Algorithms like Gradient Descent or Adam to minimize loss functions.
    Optimization

Applications

  • 📸 Computer Vision: Image classification, object detection
    Computer Vision
  • 🗣️ Natural Language Processing: Language translation, sentiment analysis
    Natural Language Processing
  • 🎵 Speech Recognition: Voice-to-text conversion
    Speech Recognition

Learning Resources

Start with a simple neural network example today! 🚀

Deep Learning