Estimating Uncertainty in Machine Learning Models – Part 2
You can check out part 1 of this series here In part 1 of this series, we discussed the sources…
Stanford Research Series: Climate Classification Using Landscape Images
Authors: Drake Johnson (drakej@stanford.edu), Tim Ngo (ngotm@stanford.edu), Augusto Fernandez (afyrxr@stanford.edu) I. Introduction: Recently, there has been an increase in interest…
Stanford Research Series: Exploring Model Architectures and View-Specific Models for Chest Radiograph Diagnoses
Authors: Danny Takeuchi (dtakeuch@stanford.edu), Raymond Thai (raythai@stanford.edu), Kevin Tran (ktran23@stanford.edu) This project tackles several current issues with automated chest X-ray…
Estimating Uncertainty in Machine Learning Models — Part 1
“We demand rigidly defined areas of doubt and uncertainty!” - Douglas Adams, The Hitchhiker’s Guide to the Galaxy Why…
Getting Started with Natural Language Processing: US Airline Sentiment Analysis
Sections Introduction to NLP Dataset Exploration NLP Processing Training Hyperparameter Optimization Resources for Future Learning Introduction to NLP Natural Language…
Selecting the right weight initialization for your deep neural network
Part 1 of a two part series The weight initialization technique you choose for your neural network can determine…
Research Series: Understanding Generalization through Visualizations
By Ronny Huang, July 2019 Ronny Huang is a postdoc student at The University of Maryland and researcher in residence…
