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.PyTorch 💻
Created by Facebook, PyTorch is known for its dynamic computation graph and ease of use.Keras 📚
A high-level API that simplifies neural network development, often used with TensorFlow or Theano.MXNet 🧩
A modular framework designed for efficiency in distributed computing environments.Caffe 📷
Optimized for image processing tasks, Caffe is popular in computer vision applications.Theano 🧮
Focuses on efficient numerical computation and symbolic math expressions.
For deeper exploration, check our machine learning tutorials to practice with these frameworks!