Deep learning frameworks are essential tools for building and training neural networks. Here's an overview of popular ones:

  • TensorFlow 🧠
    Developed by Google, TensorFlow offers flexibility and scalability for research and production.

    TensorFlow

  • PyTorch 💻
    Created by Facebook, PyTorch is known for its dynamic computation graph and ease of use.

    PyTorch

  • Keras 📚
    A high-level API that simplifies neural network development, often used with TensorFlow or Theano.

    Keras

  • MXNet 🧩
    A modular framework designed for efficiency in distributed computing environments.

    MXNet

  • Caffe 📷
    Optimized for image processing tasks, Caffe is popular in computer vision applications.

    Caffe

  • Theano 🧮
    Focuses on efficient numerical computation and symbolic math expressions.

    Theano

For deeper exploration, check our machine learning tutorials to practice with these frameworks!