What are all of the topics you should know in deep learning?


What are all of the topics you should know in deep learning?

According to Wikipedia, Deep learning:

  • 4 Deep learning architectures
  • 4.1 Deep neural networks
  • 4.2 Issues with deep neural networks
  • 4.3 Deep belief networks
  • 4.4 Convolutional neural networks
  • 4.5 Convolutional Deep Belief Networks
  • 4.6 Deep Boltzmann Machines
  • 4.7 Stacked (Denoising) Auto-Encoders
  • 4.8 Deep Stacking Networks
  • 4.9 Tensor Deep Stacking Networks (T-DSN)
  • 4.10 Spike-and-Slab RBMs (ssRBMs)
  • 4.11 Compound Hierarchical-Deep Models
  • 4.12 Deep Coding Networks
  • 4.13 Deep Kernel Machines
  • 4.14 Deep Q-Networks

See also my quick and dirty webpages:

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