Want to understand neuron-level sparsity?


[TO BE WRITTEN]


A Quickstart Guide to Learning Mechanics

  1. Introduction: what do you want to understand?
  2. ...the average size of hidden representations?
  3. ...hyperparameter selection (and why should theorists care)?
  4. 🚧 ...the convergence and stability of optimization?
  5. 🚧 ...feature learning and the final network weights?
  6. 🚧 ...generalization?
  7. 🚧 ...neuron-level sparsity?
  8. 🚧 ...the structure in the data?
  9. 🚧 Places to make a difference

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