Using LSTMs, CNNs, GRUs with a larger dataset

In this colab, I have used different kinds of layers to see how they affect the model.

The splits are:

• train 67,349
• validation 872

and the column headings are:

• sentence
• label

Check out the dataset here :https://nlp.stanford.edu/sentiment/index.html

The datset consists of positive and negative movie reviews

For more information about the dataset, see https://www.tensorflow.org/datasets/catalog/glue#gluesst2

It uses CNNs, single LSTMs, and multiple LSTMs you can modify the code later to select whatever floats your boat.