AI with Catherine Ordun

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deep learning

Causality in GANs

Causality in GANs

This semester I'm taking a course at UMBC called Causality in Machine Learning by Dr. Osman Gani [https://osmanii.github.io/]. So far, we've studied Simpson's Paradox, Causality and the Potential Outcomes Framework, Average Treatment Effect, Ignorability, Exchangability, Identifiability, Consistency, Structural Causal Models (i.

Advantages of Thermal Images over Visible Images for Facial Analysis

Advantages of Thermal Images over Visible Images for Facial Analysis

Below is an excerpt from our paper Ordun, Catherine, Edward Raff, and Sanjay Purushotham. "The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data [https://arxiv.org/pdf/2009.10589.pdf]." arXiv preprint arXiv:2009.10589 (2020) for AAAI

A Brief Overview of GANs

A Brief Overview of GANs

Introduced by Goodfellow, et al. (Goodfellow) in 2014, a GAN consists of two functions, a generator and a discriminator, which are usually neural networks but can be any differentiable function. GANs are used to map data from one space to another; typically from a generated distribution \(p_g\) to an

What is AutoGAN?

What is AutoGAN?

AutoGAN is an architecture search strategy developed by Gong, et al. in 2019 to find the most optimal Generator network architecture using reinforcement learning, trained to generate images from CIFAR-10 and STL-10. To understand how AutoGAN works requires an understanding of the basics of Neural Architecture Search (NAS). This post

Survey of Object Detection

Survey of Object Detection

Several years ago I implemented GoogLeNet on the Jetson TX2. Since then I've been dealing with object detection problems both from a data scientist side, and also team leader side. > Finally got the #Jetsontx2 [https://twitter.com/hashtag/Jetsontx2?src=hash&ref_src=twsrc%5Etfw] up

Configuring the RTX2080 Machine

Configuring the RTX2080 Machine

In my first post I showed some pictures and went over a few lessons learned during the build of this machine. In this brief post, I'll share some of my configs for getting it up and running with Tensorflow 2.0. OS - Ubuntu 18.04 First I

Building the RTX2080 Machine

Building the RTX2080 Machine

[This post was originally published in 2019] This post is about my journey building my first GPU machine, complete with not one but two RTX2080's. As I start my PhD program at University of Maryland Baltimore County (UMBC), I wanted to ensure that I had the compute resources