Özet:

Deep learning is a subdivision of the machine learning field, which allows you to work with multi-dimensional data in multi-layer architectures using artificial nerve networks algorithms. Thanks to deep learning methods, natural language processing, image processing, visual object detection, drug discovery, etc. Success rates have increased seriously in the fields. Deep learning, using the feedback algorithm and discovering the complex structure of multi-dimensional data sets, facilitates researchers in subjects such as image classification close to the human level, human level speaking recognition, text reading and voice. Due to these features, deep learning and image processing methods have nowadays started to be rapidly used in many areas to solve many problems. In this study, the first detail of artificial intelligence and deep learning was given. Later, the studies conducted using deep learning methods were studied and given concrete examples of how deep learning was applied to which field. In the last part of the study, a summary of the purposes of the study articles, the methods they use, the contribution to literature and the results they obtained was provided to the researchers to obtain preliminary information on the methods they will use in their studies.

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