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Introduction to Neural Networks Workshop
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slides
.gitignore
LICENSE
README.md
adult_logit_baseline.R
import_adult_data.R
import_iris_data.R
iris_logit_baseline.R
iris_multiclass.R
iris_nn.R
iris_nn_continuous.R
main.R
required_packages.R

README.md

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
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