
5. Štádiá vývoja umelej inteligencie #1 - Zber dát a tvorba datasetu
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About this listen
- Zber dát z rôznych zdrojov
- Označovanie dát
- Rozdelenie datasetu na trénovaciu, validačnú a testovaciu časť
- Distribúcia tried a apriorná pravdepodobnosť
Kaggle datasety: https://www.kaggle.com/datasets
MNIST benchmarks: https://paperswithcode.com/sota/image-classification-on-mnist
Zdrojové kódy k epizódam nájdeš na Patreone: https://patreon.com/naucneurony
Instagram: https://www.instagram.com/nauc.neurony/
Twitter: https://twitter.com/nauc_neurony/
Facebook: https://www.facebook.com/nauc.neurony/
Web: naucneurony.sk
Email: nauc.neurony@gmail.com
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