Deep Learning (DL) versus Analysis Learning (AL)

At first I liked tinkering with computers and learn computer programming languages, after graduating high school I started to develop the concept of work on data processing and I've completed it. More recently the IT world the term Deep Learning (DL) number of campuses or institutions have been developing this concept, and many experts of computer data or data processing experts began to talk about it. I do not know that it is actually a concept I have done resemblance to Deep Learning or part of Deep Learning but once I learned it was different, DL they mean is to show something of what they are looking for based on the data input as much as possible so that what they the purpose is to learn to structure the deepest and provide advisory or decision, but it relates to the search engine or internet network application using algorithms, meaning that when it is applied in the world of the stock market as Wall Street, the working concept Deep Learning will detect fraud there is. Deep Learning systems work similar to the concept of the brain where the objects are visible to the eye to be delivered to specific parts to be stored and studied by contrasting the existing data and the use of certain alogritma method to render a decision as well as a warning signal. Deep Learning tend to use super computers or computer large capacity for looking at the use of data (big data), big data here can mean pictures, numbers, files, chat, text, web pages, maps of the world, the code algoritmatik, core decision made deep learning is seen in a comparison of all the data held (such as scanned photos) means more data entry means more comparisons, and if more and more comparisons, the decision is getting better, so that a deficiency also that deep learning must wear a large-capacity computers.