Machine Learning, Classification, Keras, Deep Learning, Computer Vision.
categorical cross-entropy since we’re doing a multi-class classification. The categorical cross-entropy loss function is a common choice for multi-class classification tasks, as it penalizes the model for incorrect predictions and encourages it to assign high probabilities to the correct classes.