Philosophical foundations of deep learning

The main purpose of our study is to address the development of deep learning modeled on the human brain under the title of artificial intelligence, to create a meaningful whole and to reveal a new prediction. For this purpose, in the first part, how and in what way they need for machines that emerged in the field of mathematics throughout history is discussed. In the second chapter, Alan Turing's article "Computational Machines and Intelligence muş which has made very important predictions in the field of artificial intelligence are examined. Then, J. Searle and the Chinese Chamber Experiment, which approach Turing's predictions from a different perspective, are examined. In the last chapter, the concept of machine learning is examined in the context of deep learning and artificial neural networks. Artificial neural networks and the development of deep learning in architectural structures were evaluated by taking the structure of the human brain as a model. In this field, the errors that can be corrected from the studies that have been done so far and the new ways to go after that have been revealed.