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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zekai Sen | - |
| dc.date.accessioned | 2024-06-25T08:04:27Z | - |
| dc.date.available | 2024-06-25T08:04:27Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/10329 | - |
| dc.description.abstract | This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. The author first describes ANN implementation, consisting of at least three layers that must be established together with cells, one of which is input, the other is output, and the third is a hidden (intermediate) layer. | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | Artificial Neural Networks | Mạng thần kinh nhân tạo | vi |
| dc.title | Shallow and deep learning principles : scientific, philosophical, and logical perspectives | vi |
| dc.type | Sách/Book | vi |
| Appears in Collections | Y học và y tế | |
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