Deep Learning Frameworks Tutorials

Deep learning frameworks are essential tools for implementing and experimenting with deep learning algorithms. Below is a list of popular frameworks along with some tutorials to get you started.

• TensorFlow: An open-source software library developed by Google Brain team for dataflow programming across a range of tasks.

  • TensorFlow Basics
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• PyTorch: An open-source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.

  • PyTorch Tutorials
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• Keras: A high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.

  • Keras Quick Start
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• MXNet: A flexible and efficient machine learning library for deep learning.

  • MXNet Tutorials
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For more in-depth tutorials and resources, check out our Deep Learning Resources page.