Özet:

Deep convolutional neural networks (DESA) is one of the most popular and common deep learning method using two-dimensional data. It is especially important for undergraduate and graduate students to have free and easy access to environments where they can freely apply and develop deep learning methods, design new deep learning models, and have knowledge, skills and experience that can serve humanity and science. Open source software platforms have a great advantage if they are taught as a course in universities and in terms of providing an environment where students can be educated during their student period. However, nowadays, when universities obtain the license of commercial software such as MATLAB, deep learning application environments that researchers can reach but cannot reach by students emerge. MATLAB is a commercial software with closed source code that does not have any significant disadvantages other than being costly in terms of realizing deep learning applications. In this study, the design of deep convolutional neural network models on open source software platforms has been handled and compared with MATLAB. It was concluded that open source software should be included in the curriculum of universities in order to make DCNN applications easily accessible and to increase their popularity among young people with open source software platforms.

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