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VS265: Reading

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Aug 28: Introduction

Optional:

Sept 2: Neuron models

Background reading on dynamics, linear time-invariant systems and convolution, and differential equations:

Sept 4: Linear neuron, Perceptron

  • HKP chapter 6, DJCM chapters 38-40, 44, DA chapter 8 (sec. 4-6)
  • Linear neuron models
  • Handout on supervised learning in single-stage feedforward networks

Background on linear algebra:




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