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Keras Overview (with R)

This space is for applying machine learning techniques with Keras in R.

Keras is a high-level NN package that we can use to quickly develop and experiment with deep neural nets (PDF guide).

Further discuss of this implementation can be found in the Titanic data set exercise.

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Teton: A Beginner's Guide

How to request a new ARCC project, or make changes to an existing project

Keras Overview (with R)

petaLibrary Guide: How to Access and Use Your Space

Using Windows Subsystem for Linux

Parallelization schemes: crash course

How to work in R on Teton

Rstudio on Teton

Working with Stan in R on Teton

How to interpret R within Latex - not R markdown

How to install additional R packages for your use on teton

What is a Bash profile and how to edit one's profile to do useful stuff

How to get storage on Google Drive, through UW

How to cancel a lot of jobs with Slurm

How to submit an array of tasks to SLURM

Creating aliases in Windows Subsystem for Linux

X11 with Windows Subsystem for Linux

Using Reticulate to do Python in R

Recommended Resources

Configure ssh so that password is required only once per work session

Creating shared globus directories: sharing data with users outside of teton

Helpful Links:

Quick information on Keras from RStuido
YouTube channels for conceptual introductions to Neural Networks
- Three Blue One Brown's Expose on Neural Networks
- Siraj Raval's channel has some videos about neural networks (usually Python-based)

Related Articles:

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