Data Science, Loss Function, Machine Learning, Neural Networks, TensorFlow.
required to analyze and find patterns in unlabelled input datasets. The basic principle of loss functions still holds; the goal of a loss function in unsupervised learning is to determine the difference between the input example and the hypothesis — the model’s approximation of the input example