Data Science, Loss Function, Machine Learning, Neural Networks, TensorFlow.
the highest probability as the final output. In binary classification, there are only two possible actual values of y — 0 or 1. Thus, to accurately determine loss between the actual and predicted values, it needs to compare the actual value (0 or 1) with the probability that the input aligns with