Introduction to Neural Networks Workshop

Wednesday, May 15, 2019 - 3:30 - 4:30 PM

Lemann Center @ CERAS

To copy this directory, paste this into the command line:

git clone https://github.com/klintkanopka/nn_workshop.git

File Inventory:

• slides/nn_workshop_handout.pdf - Handout version of slides - severely less annoying version
• main.R - Organizing file, calls scripts in order.
• required_packages.R - List of required packages.
• import_iris_data.R - Imports iris (yes, the flower) dataset.
• iris_logit_baseline.R - Runs baseline logit model for flower classification.
• iris_nn.R - A few simple binary classification NN models
• iris_multiclass.R - A multiclass classification NN model
• iris_nn_continuous.R - A few NN models with a continuous output variable and linear model comparison
• import_adult_data.R - Imports adult earnings dataset. Internet connection required.
• adult_logit_baseline.R - Runs baseline logit model for income prediction.

Ancillary Files:

• slides/nn_workshop_slides.pdf - Slides, as presented - very annoying to reference
• slides/nn_workshop.tex - LaTeX file to generate slides
• slides/nn-conv.jpg - Convolutional neural network diagram
• slides/nn-feedforward.png - Feed-forward neural network diagram
• slides/nn-recurrent.png - Recurrent neural network diagram
• .gitignore - Tells git what files not to track
• README.md - This file
• LICENSE - MIT License