IEEE/ICACT20210175 Slide.20        [Big Slide]       Oral Presentation
Now we explore the typical framework of a deep learning approach. One of the key challenges in computer vision is to deal with the variance of data in the real world. It can be said that Deep learning networks are designed to cope with this problem. As being mentioned, Unlike a traditional machine learning-based method, a deep learning method makes all these hand-crafted features obsolete, as it defines the features space itself. In our work, we introduce the principles of convolutional neural networks, deep belief networks, and deep auto encoders.

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