data_mining:neural_network:endtoenddeeplearning

End-to-end deep learning

Feasability depends on the amount of available data.

Pro:

  • Let data speak (no forced representation)
  • Less hand-designing of components

Cons:

  • Large amount of data needed
  • Excludes useful hand-designed features
  • Multi-step approach is used, when more data for subtasks is available
  • data_mining/neural_network/endtoenddeeplearning.txt
  • Last modified: 2018/05/22 01:30
  • by phreazer