Convolutional Neural Network Image Classification

Deep Learning (DL) is a subset of Machine Learning that uses Neural Network inspired architecture to make predictions. Convolutional Neural Networks (CNN) are a type of DL model that is effective in learning patterns in 2-dimensional data such as images. Images of drill bit types are used to train a classifier to identify common drill bit types for Oil & Gas Exploration and Horizontal Directional Drilling (HDD).

This exercise demonstrates the use of image classification to distinguish between objects in photos. Although applied to bit types, the same methods and code can be used for any type or number of objects. Include train and test photos in folders that are named with the object type. The code automatically takes the name of the folder as the photo label for training the classifier.

0:00 Number Classification
0:52 Classification Introduction
1:58 Import Packages
3:25 Download Data
6:09 Import Photos
10:08 Build CNN
19:28 Model Testing
24:09 Crack Detection

Machine Learning for Engineers: https://apmonitor.com/pds
Bit and Crack Classification: https://apmonitor.com/pds/index.php/Main/BitClassification

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