How to solve a classification problem
This tutorial will show you how to build an image classifier, taking you through creating the typical building blocks of a convolution neural network (CNN) for a 28 x 28 pixels imageset with 10 classes. Taking the input dataset, establishing the convolution layer, pooling/downsampling, flatten and classifying.
Target audience: Data scientists and developers
Preread: We suggest that you start your deep dive into the Peltarion Platform with the Deploy an operational AI model tutorial. The link below is a proposed pre-read material for those unfamiliar with CNNs and how they work. It does not endeavor to be an exhaustive learning reference. A Beginner's Guide To Understanding Convolutional Neural Networks .