TF Hub is a library for the publication, discovery, and consumption of reusable parts of machine learning models.

The program used the binary_crossentropy loss functions and the adam optimizer function. The model was 84.9% accurate.

The training and validation loss decreases when the epochs are increased

The training and validation accuracy increase when you increase the epochs