Machine_Learning_in_Systems

Welcome! This repository holds the crucial code from my learning experience in the course CSCE 689: Machine Learning in Systems.

Repository Contents:

CNN Research Paper: An analysis of Deep/Wide CNN vs. ResNet performance on various Nvidia GPUs.
Pytorch Resnet/Cifar-10 CPU/GPU DNN: Code utilized for the CNN research paper experiments.
Abstract Scraping: Scraping of abstracts from the ISLR conference to create a dataset.
"Neural Network"/"Python Generative RNN": My award-winning GRNN which took ISLR conference abstracts and produced unique, human-passable abstracts.
"Neural Network"/"RNN_GRU_pt4_loss": The saved gradient from the award-wining GRNN, which can be loaded with the code.

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
Neural Network		Neural Network
Abstract Sraping.ipynb		Abstract Sraping.ipynb
CNN Research Paper.pdf		CNN Research Paper.pdf
PyTorch Resnet.ipynb		PyTorch Resnet.ipynb
Pytorch Cifar-10 DNN.ipynb		Pytorch Cifar-10 DNN.ipynb
Pytorch Cifar-10 GPU DNN.ipynb		Pytorch Cifar-10 GPU DNN.ipynb
README.md		README.md

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