Deep Learning Frameworks

Deep learning frameworks are essential tools for building and deploying machine learning models. Below is a list of some popular deep learning frameworks:

TensorFlow: An open-source machine learning framework developed by Google Brain. It is widely used for its flexibility and extensive ecosystem.
PyTorch: Developed by Facebook's AI Research lab, PyTorch is known for its ease of use and dynamic computation graph.
Keras: A high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.
Caffe: A deep learning framework made with expression, speed, and modularity in mind by the Berkeley Vision and Learning Center (BVLC) and community contributors.

For more information on deep learning frameworks, you can visit our Deep Learning Resources page.

TensorFlow
PyTorch
Keras
Caffe