The softmax function converts logits into probabilities, ensuring they sum to 1 for classification tasks.

Adam optimizer adapts learning rates for each parameter, combining momentum and adaptive learning rates efficiently.

Cross entropy loss measures the difference between predicted probabilities and actual labels in classification tasks.

Data analytics is the process of analyzing raw data to draw out meaningful insights, identify patterns, and draw conclusions.