Is KerasNLP a better model that Keras’ Bidirectional LSTM for classifying tweets?

Keras is a high level open source library that provides a Python interface for artificial neural networks. Keras is user friendly, modular, and extensible. This library has been developed and primarily maintained by Google engineer, Francis Chollet.

Keras started out as being a multiple backend library , supporting Tensorflow and a number of other libraries. In version 2.4 of Keras, however, only Tensorflow was supported by Keras. However, in version 3.0, Keras will begin supporting multiple backends again, being Tensorflow, Jax, and PyTorch.

Keras contains numerous implementations of commonly used neural-network building blocks such as layers, objectives, activation functions, optimizers, and a host of tools for working with image and text data to simplify programming in deep neural network area. In addition to standard neural networks, Keras has support for convolutional and recurrent neural networks. It supports other common utility layers like dropout, batch normalisation, and pooling.

In the time since Keras has been on the scene, Keras has undergone several revisions, which makes it necessary for people who use the library to stay abreast of the changes that take place at each revision. In addition to the numerous revisions that this library has…