Deep Neural-Network Learning Task

A Deep Neural-Network Learning Task is a neural-network learning task that requires the production of a deep neural network.

• Context:
  • It can be solved by a Deep Learning System (that implements a deep learning algorithm).
  • It can (typically) be a Non-Convex Optimization Task.
  • It can (typically) be unsuited for Predictive Tasks with Error Bounds.
  • …
• Counter-Example(s):
  • a Shallow Neural-Network Learning Task/Shallow ANN Learning Task.
• See: SVM Learning Task.

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