MultiOutput

How to train and validate ML models on multioutput datasets with minimal coding effortPhoto by Victor Barrios on UnsplashIntroductionThe standard machine learning tasks everyone is familiar with are classification (binary and multiclass) and regression. In these cases, there is one target column that we are trying to predict. In the multioutput case, there is more than one target column, and we want to train a model capable of predicting every one of them at the same time. We recognize three types of multioutput…

Photo by Pavel Neznanov on UnsplashWith complete codeI wrote several tutorials on TensorFlow before which include models with Sequential and Functional API, Convolutional Neural Networks, Reinforcement Neural Networks, etc. In this article, we will work on a model using Functional API but it will predict two outputs with one model.If you already know how functional API works, it should be simple for you. If you need a tutorial or a refresher on functional API, this article should help:Let’s dive into the tutorial. First…