Neural network training materials for research assistants

Overview

This page provides resources to learn about the basics of neural network modeling and machine learning fundamentals for research assistants, including contextualized resources to understand their utility in LCNL’s work in psychological science.

Tutorials

• Geoff Hinton’s Coursera videos
• Lavrenko’s videos
  • Feedforward nets
  • XOR
• Backpropagation through time
  • Short tutorial
  • Hinton’s video on backprop

Computing tools

• Python 3 via Miniconda
• Tensorflow install
  • Tutorial in tensorflow
• Keras install
  • Tutorial video
  • Keras at development summit
• Scikit-learn

Enrichment

• Is backprop neurobiologically tenable?
• Seidenberg (1997) from Science on probabilistic constraints