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Code and reports from two projects; Boltzmann machine trained on the MNIST data and temporal difference learning model for navigating Morris water-maze task

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Brain-Inspired-AI

Jonathan Pearce, McGill University

2 Course Projects for Comp 596 (Winter 2020)

Project 1: Build and train a Boltzmann machine on the MNIST dataset. Boltzmann machines are a specific type of PDP model designed for unsupervised learning.

For full project report please click here

Project 2: Reproducing a combined coordinate and TD algorithm for solving the Morris water-maze task.

For full project report please click here

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Code and reports from two projects; Boltzmann machine trained on the MNIST data and temporal difference learning model for navigating Morris water-maze task

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reinforcement-learning neuroscience boltzmann-machines unsupervised-learning td-learning

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