ASGE at DDW AI in GI Workshop | May 2022-Let’s Build an Algorithm and Learn

Let’s Build an Algorithm and Learn

Pdf Summary

In this document, the author discusses the process of training a neural network. They define machine learning as finding patterns in data to make predictions on new data. Linear regression is mentioned as a method that works well for tabular data. Deep learning, also known as neural nets, is introduced as a type of machine learning for complex data types. The concept of convolutional neural networks is briefly mentioned. The document then focuses on how neural networks find features and gives an example of building a model to detect polyps. The author also includes a link to a website, teachablemachine.withgoogle.com, for the reader to try out their own models.

Asset Subtitle

Dale Markowitz

Keywords

neural network

machine learning

data patterns

predictions

linear regression

tabular data

deep learning

convolutional neural networks

feature detection

polyp detection