<feed xmlns="http://www.w3.org/2005/Atom"> <id>https://pietrocolaguori.github.io/</id><title>Pietro Colaguori</title><subtitle>pietro, colaguori, portfolio, blog, github, git</subtitle> <updated>2024-06-28T21:22:55+00:00</updated> <author> <name>Pietro Colaguori</name> <uri>https://pietrocolaguori.github.io/</uri> </author><link rel="self" type="application/atom+xml" href="https://pietrocolaguori.github.io/feed.xml"/><link rel="alternate" type="text/html" hreflang="en" href="https://pietrocolaguori.github.io/"/> <generator uri="https://jekyllrb.com/" version="4.3.3">Jekyll</generator> <rights> © 2024 Pietro Colaguori </rights> <icon>/assets/img/favicons/favicon.ico</icon> <logo>/assets/img/favicons/favicon-96x96.png</logo> <entry><title>Anomaly Detection with a Neural Network (all-CAE)</title><link href="https://pietrocolaguori.github.io/posts/Anomaly-Detection-with-Autoencoder/" rel="alternate" type="text/html" title="Anomaly Detection with a Neural Network (all-CAE)" /><published>2024-06-27T01:00:00+00:00</published> <updated>2024-06-27T01:00:00+00:00</updated> <id>https://pietrocolaguori.github.io/posts/Anomaly-Detection-with-Autoencoder/</id> <content src="https://pietrocolaguori.github.io/posts/Anomaly-Detection-with-Autoencoder/" /> <author> <name>Pietro Colaguori</name> </author> <category term="AI" /> <category term="ML" /> <category term="Thesis" /> <summary>For my bachelor’s thesis in Computer and Systems Engineering, I developed a specialized neural network model known as an all-convolutional autoencoder (all-CAE) to differentiate between healthy berries and those that are infected or damaged. The all-CAE leverages the power of convolutional layers to accurately identify and classify the subtle differences in berry conditions, showcasing the pote...</summary> </entry> </feed>
