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About Deep Learning As A Frontier of Machine Learning A
Deep learning is a family of machine learning algorithms inspired by biological neural networks. It attempts to model high-level abstractions in data using multiple layers composed of linear and non-linear transformations. With increased data sizes, deep learning models have shown advantages over conventional machine learning by learning directly from data without relying on human-defined features. Popular deep learning architectures like convolutional neural networks, deep neural networks, deep belief networks, and recurrent neural networks are applied to problems in computer vision and predictive analytics to gain insights from large-scale data. This paper reviews popular deep learning models focused on artificial neural networks, discussing artificial neural networks, convolutional neural networks, deep neural networks, deep belief networks, and recurrent neural networks.
Detailed Information
Author: | ['Rafi Y.S'] |
---|---|
Publication Year: | 2021 |
Pages: | 10 |
Language: | English |
Format: | |
Price: | FREE |
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