Deep Learning for Dummies #2 - Learning Process

Internally, each neuron inside a neural network detect patterns or characteristics inside your data for feeding back to other neurons. I pretend to show you how neural networks can learn to solve a problem, and what is our tasks as developers in this learning process. First, we review typical mathematical concepts used for training neural networks and next, I will explain the algorithms that permit the learning task. For understanding the content of this post, you should read my last article, where I explain in detail the machine learning and deep learning problem of how the base neural network's architecture is. At this point, we know that a learning process consists in finding the weights of the net that better estimate the values of a function, but what is the real problem that we are solving?