Look deep into DNA
How to solve a multi-label classification problem
This tutorial will show you how to build a model that will solve a multi-label classification problem. This means that the model tries to decide for each class whether the example belongs to that class or not.
You will create a solution on the platform to a complex problem using state of the art machine learning models.
Target audience: Data scientists and developers
Preread: This tutorial is based on an adaptation of FCN-6, a content-based automatic music tagging algorithm using fully convolutional neural networks, from the paper AUTOMATIC TAGGING USING DEEP CONVOLUTIONAL NEURAL NETWORKS. If you want to you can dig deep into that before you dig into this tutorial. The algorithms presented in the paper were developed for tagging of music but with some modifications, it can be used for this domain as well.
Target audience: Data scientists and Developers
Author: Mikael Huss, Data Scientist at Peltarion