This project is complete. It may serve as a one semester course material for advance undergraduates or early-stage graduate students, which are interested in neural networks and deep learning from a cognitive science perspective.
The goal of this project is to introduce a selection of canonical neural network models of cognition. Each section covers the following contents:
The tutorials are intended to be used by beginner to intermediate level students and/or researchers in cognitive science or related fields, for instance, advance undergraduates or early-stage graduate students. Knowledge of Python is not required, but it is advised to have previous exposure/experience working with some dynamically typed programming language like R, Julia, Scala, or Matlab.
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