Analyzed Performance for a Chairs Classifier through Deep Learning
نویسندگان
چکیده
Deep learning is a branch of machine learning and this technique allows us to create classifiers. We must find the best dataset size for a classifier process to permit using less time and give good accuracy. In this paper we will propose models with different deep layers and size dimensions for detecting the best model to solve a task that needs quick time processing.
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عنوان ژورنال:
- Research in Computing Science
دوره 118 شماره
صفحات -
تاریخ انتشار 2016