Application of Convolutional Neural Network in Pneumonia Chest Image Classification
Skip to main content
eScholarship
Open Access Publications from the University of California

UCLA

UCLA Electronic Theses and Dissertations bannerUCLA

Application of Convolutional Neural Network in Pneumonia Chest Image Classification

Abstract

In this application, multiple Convolutional Neural Network models with different complexities arebuilt for finding the most moderate fitting. The bias-variance tradeoff and the ways of tuning the model parameters were introduced to guide the readers who have little knowledge in building neural network models for the image classification problem.

Main Content
For improved accessibility of PDF content, download the file to your device.
Current View