Deep learning architectures are the backbone of modern AI systems. With their ability to automatically learn patterns from data, they enable breakthroughs in image recognition, natural language processing, and more. 🤖

Common Architectures

  • Convolutional Neural Networks (CNNs): Perfect for image processing.
    CNN
  • Recurrent Neural Networks (RNNs): Ideal for sequential data like time series or text.
    RNN
  • Transformers: Revolutionized NLP with self-attention mechanisms.
    Transformer

Applications

From self-driving cars 🚗 to chatbots 💬, these architectures power cutting-edge technologies. 🚀

Further Reading

For a deeper dive into deep learning tips and tricks, check out our Deep Learning Tips tutorial.