Machine Learning, Neural Networks, Backpropagation, Gradient Descent.
established examples. Say, for a classic classification problem, we have a lot of examples from which the machine learns. Each example is a particular circumstance or description which is depicted by a combination of features and their corresponding labels. In our real-world, we have a different