Welcome to the AI Frameworks tutorial! Whether you're diving into machine learning or deep learning, choosing the right framework is essential. Here's a quick guide to popular options:

🧠 Key Frameworks Overview

  • TensorFlow 🟦
    Developed by Google, it's perfect for scalable production systems.

    TensorFlow

  • PyTorch 🟡
    Preferred for research and prototyping, with dynamic computation graphs.

    PyTorch

  • Keras 🟠
    User-friendly API built on top of TensorFlow, ideal for beginners.

    Keras

  • MXNet 🟤
    Flexible and efficient for distributed training across multiple GPUs.

    MXNet

  • JAX 🟣
    Combines NumPy-like syntax with automatic differentiation for high-performance computing.

    JAX

📚 Extend Your Knowledge

For a deeper dive into AI concepts, check out our AI Tutorial Overview. Let me know if you need help choosing the right framework for your project! 🌟