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| Title Details: | |
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Deep Neural Network Models |
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| Authors: |
Likothanassis, Spiridon Koutsomitropoulos, Dimitrios |
| Description: | |
| Abstract: |
This chapter deals mainly with one of the most widespread types of deep networks, the deep convolutional networks. This chapter also examines other types that include recurrent networks, long short-term memories (LSTMs), as well as their use in speech recognition and natural language processing.
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| Linguistic Editors: |
Kanari, Vasiliki |
| Graphic Editors: |
Moustani, Evagelia |
| Type: |
Chapter |
| Creation Date: | 09-11-2023 |
| Item Details: | |
| License: |
Attribution - NonCommercial - ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
| Handle | http://hdl.handle.net/11419/11356 |
| Bibliographic Reference: | Likothanassis, S., & Koutsomitropoulos, D. (2023). Deep Neural Network Models [Chapter]. In Likothanassis, S., & Koutsomitropoulos, D. 2023. Computational intelligence and deep learning [Undergraduate textbook]. Kallipos, Open Academic Editions. https://hdl.handle.net/11419/11356 |
| Language: |
Greek |
| Is Part of: |
Computational intelligence and deep learning |
| Publication Origin: |
Kallipos, Open Academic Editions |