What My Project Does
Target propagation was a biologically plausible alternative to backpropagation introduced in 2015 by Yoshua Bengio. I implemented the original paper to find out why it did not go mainstream.
Target Audience
Researchers interested in alternatives to backpropagation and other gradient-based neural network training algorithms
Comparison
Biologically-inspired alternatives to gradient-based learning include the
– forward-forward algorithm (Hinton, 2022),
– NEAT or Neuro-Evolution of Augmenting Topologies (Stanley & Miikkulainen, 2002),
– equilibrium propagation (Bengio & Scellier, 2016)
– direct feedback alignment (Nøkland, 2016)
– NoPropagation
I compared Target Propagation to backpropagation only and found it super slow tbh.
Github
Repository: https://github.com/MurageKibicho/Target-Propagation
Caveats
Target propagation seems unlikely to ever go mainstream. It is rather slow compared to backprop
submitted by /u/DataBaeBee to r/Python
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