Detailed Comparison of Deep Hybrid Neural Models and Optimizers for Multiclass classification in NLP

Multi-class classification based on textual data refers to a supervised machine learning task, where we try to predict a certain class for input data, given the input data in raw textual format. Well, thanks to TensorFlow, we have a variety of algorithms available to perform multi-class classification via natural language processing.