Machine Learning, Classification, Keras, Deep Learning, Computer Vision.
all the images in the testing set. It is worth noting that achieving 100% accuracy on the testing data is not always possible and that there may be some variability in the results due to the random initialization of the model’s weights and the stochastic nature of the optimization algorithm.