2020-05-01 · On-line interactive book introducing the history, theory, and math of Neural Network Models with Python, from a Cog Science perspective.

neural-networks convolutional-neural-networks recurrent-neural-networks deep-learning article code tutorial

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:

- Historical and theoretical background
- Mathematical formaliation
- Code implementation in Python
- Example application
- Model limitations
- Models are implemented in Python as Jupyter Notebooks tutorials. Although is recommended to follow the tutorials in a linear fashion, they can be used as stand-alone learning material.

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.

Don't forget to tag @pabloinsente in your comment, otherwise they may not be notified.

Psychology PhD student at UW-Madison

C++ Implementation of PyTorch Tutorials for Everyone

This repository provides tutorial code in C++ to learn PyTorch by building CNNs, RNNs, etc. Tutorials are divided into three sections based on complexity.

Parameter Optimization in Neural Networks

Visualizing parameter optimization

ECG arrhythmia classification using a convolutional neural net

This is an implementation of the paper on ECG arrhythmia classification https://arxiv.org/pdf/1804.06812.pdf.

Machine Learning Tutorials

2020-02-12 ·
Creating organized tutorials for some of the machine learning concepts.