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Showing posts from 2017

deep learning 1

in deep learning you don't have to do feature selection, this is automated by the deep learning algorithm by looking at the patterns of the data. we just feed it in and see the output classification. Talking about automation, this is a time saver for human being isn't it? The point why computer is really helpful to us is the fact that it could automate task. Now, do we need to understand how the machine do it? I think this is just a matter of trust or fear from humanity to machine. We don't need to understand anything, but sometimes what it matters is solving the problem. Like a doctor giving the medicine to a patient, granted he or she will have the understanding of how the medicine works into human body. This understanding however is 'limited', the doctor kind of 'trust' the work of the people who created those medicine that it will do no harm to the body. But the truth of the matter is it does not work always that way. There is a degree of 'blac

machine learning ..difference

difference between machine learning and traditional programming. In traditional programming we tell the machine what to do or the decision making process to reach a certain goal. Like in order to identify a person, look for nose, look for eye, look ear, look for mouth and etc. but with machine learning we don't tell the machine what to do how to reach a goal. So, if the goal is to recognize human face then we give the machine many faces of human being and let the machine learn it on its own, instead of telling the machine what to do. This is much like the learning process of human being, where to accomplish a skill we could tell the human specific instructions of what to do or we could just give them the outcome and let the human figure out how to do it. this could be done through trial and error, and through error human could learn. So for example instead of tellling human what to in order to set up a succesfull business steo by step. Say, think about product and service tha