Rikcha:The relationship and main types of artificial intelligence, machine learning and deep learning.webp
Tamaño de esta previsualización PNG del archivo WEBP: 635 × 599 iñu. Huk huyakukuna: 254 × 240 iñu | 509 × 480 iñu | 814 × 768 iñu | 1085 × 1024 iñu | 1807 × 1705 iñu.
Qallariy willañiqi (1807 × 1705 iñu; willañiqip chhikan kaynin: 409 kB; MIME laya: image/webp)
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Kay willañiqiqa kay uranpi yapa willasqakunapas Wikimedia Commons sutiyuq chawpi midya hallch'amantam ch'aqtasqa. | 
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Commons nisqapi ch'uyanchana p'anqaman |
Pisichay
| T'iktuna |
English: The relationship and main types of artificial intelligence, machine learning and deep learning |
| P'unchaw | |
| Pukyu | Wang, Tianming, Zhu Chen, Quanliang Shang, Cong Ma, Xiangyu Chen, and Enhua Xiao. 2021. "A Promising and Challenging Approach: Radiologists’ Perspective on Deep Learning and Artificial Intelligence for Fighting COVID-19" Diagnostics 11, no. 10: 1924. https://doi.org/10.3390/diagnostics11101924 |
| Ruraq | Wang, Tianming, Zhu Chen, Quanliang Shang, Cong Ma, Xiangyu Chen, and Enhua Xiao |
Saqillaspa
Este archivo está disponible bajo la licencia Creative Commons Atribución 4.0 Internacional.
- Qispilla rurarillay:
- rakinakuy – iskaychay, mast'ariy, maymanpas kachay kay rurasqata
- musuqmanta chaqruy – rurasqata tupayay
- Kay phatakuna tukuptinqa:
- Ruraqpa sutinta willay – Kay rurasqataqa ruraqninpa icha saqillaqninpa sut'ichasqan hina unanchanaykim (ichataq amapuni kay hinachu, pay q'imisunkiman icha rurayniykita q'iminman rikch'akunman).
Willañiqip wiñay kawsaynin
P'unchaw/pacha nisqapi ñit'iy chaypacha willañiqi kachkasqata qhawanaykipaq.
| P'unchaw/Pacha | Uchuylla rikchacha | Chhikanyachikuqkuna | Ruraq | Willapuy | |
|---|---|---|---|---|---|
| kunan | 11:02 14 phi 2022 | | 1807 × 1705 (409 kB) | Balkanique | Uploaded a work by Wang, Tianming, Zhu Chen, Quanliang Shang, Cong Ma, Xiangyu Chen, and Enhua Xiao from Wang, Tianming, Zhu Chen, Quanliang Shang, Cong Ma, Xiangyu Chen, and Enhua Xiao. 2021. "A Promising and Challenging Approach: Radiologists’ Perspective on Deep Learning and Artificial Intelligence for Fighting COVID-19" Diagnostics 11, no. 10: 1924. https://doi.org/10.3390/diagnostics11101924 with UploadWizard |
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Mayqin wikikunapi willañiqita llamk'achinku
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