Deep Learning (DL) Framework

A Deep Learning (DL) Framework is an machine learning framework that focuses on the delivery of deep learning systems.

• Context:
  • It can (typically) contain a Deep Learning Library.
  • It can be a Python DL Framework, Scala DL Framework, ...
  • …
• Example(s):
  • PyTorch Framework.
  • TensorFlow Framework.
  • MXNet Framework.
  • Chainer Framework.
  • MindSpore Framework.
  • a Deprecated DL Framework, such as Microsoft's CNTK.
  • …
• Counter-Example(s):
  • a General ML Framework, such as sklearn.
  • a Distributed Data Processing Framework, such as Spark framework.
• See: Software Framework, Distributed Software Framework, Distributed (Deep) Machine Learning.

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