How To Predict Multiple Variables With One Model? And Why!

When we start working with TensorFlow, we usually use the sequential format to create Models with the Keras library. With sequential models, we can solve many problems in all fields of deep learning. Whether they are image recognition or classification, Natural Language Processing, or Series Forecasting… they are models powerful enough to be used in a large majority of problems. But there are times when we need to go a little further in using Keras with TensorFlow. So, we can use the API for model creation, which opens up a wide world with many more possibilities that we did not have when using sequential models.