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Role of Layers and Neurons in Deep Learning With the Rectified Linear Unit
Deep learning is used to classify data into several groups based on nonlinear curved surfaces. In this paper, we focus on the theoretical analysis of deep learning using the rectified linear unit (ReLU) activation function. Because layers approximate a nonlinear curved surface, increasing the number...
Autores principales: | Takekawa, Akira, Kajiura, Masayuki, Fukuda, Hiroya |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601259/ https://www.ncbi.nlm.nih.gov/pubmed/34820210 http://dx.doi.org/10.7759/cureus.18866 |
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