Reading lists for new LISA students

Benjio给LISA学生的Reading lists

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Reading lists for new LISA students

Research in General

Basics of machine learning

Basics of deep learning

Feedforward nets

MCMC

Restricted Boltzmann Machines

Boltzmann Machines

Regularized Auto-Encoders

Regularization

Stochastic Nets and GSNs

Others

Recurrent Nets

Convolutional Nets

Optimization issues with DL

NLP + DL

CV+RBM

CV + DL

Scaling Up

DL + Reinforcement learning

Graphical Models Background

Writing

Software documentation

Software lists of built-in commands/functions

Other Software stuff to know about:

  • screen/tmux
  • ssh
  • ipython
  • matplotlib