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Deep Learning Studio — Wikipedia (en)

Source: Wikipedia (en)
Original: https://en.wikipedia.org/wiki/Deep_Learning_Studio
License (as archived): CC-BY-SA-4.0
Archived: 2026-10-31T08:45:20.330Z
SHA-256 of the archived text: 5e23c8bb16cfcf388d5a5329ca9a658347094b9cba2e578642c50fb2a574ef5d
Stable URL of this page: https://metraipolis.com/documento/dc_fbc7a6124d4e

How to cite

Deep Learning Studio — Wikipedia (en) — Wikipedia (en), https://en.wikipedia.org/wiki/Deep_Learning_Studio (CC-BY-SA-4.0); archived copy: https://metraipolis.com/documento/dc_fbc7a6124d4e (Metraipolis archive dc_fbc7a6124d4e, sha256 5e23c8bb16cfcf388d5a5329ca9a658347094b9cba2e578642c50fb2a574ef5d)

BibTeX

@misc{dcfbc7a6124d4e,
  title = {Deep Learning Studio — Wikipedia (en)},
  howpublished = {Wikipedia (en)},
  url = {https://en.wikipedia.org/wiki/Deep_Learning_Studio},
  note = {License CC-BY-SA-4.0; archived copy https://metraipolis.com/documento/dc_fbc7a6124d4e; sha256 5e23c8bb16cfcf388d5a5329ca9a658347094b9cba2e578642c50fb2a574ef5d},
  year = {2026}
}

Archived text

Reproduced under CC-BY-SA-4.0. Attribution: Wikipedia (en), https://en.wikipedia.org/wiki/Deep_Learning_Studio. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Deep Learning Studio is a software tool that aims to simplify the creation of deep learning models used in artificial intelligence. It is compatible with a number of open-source programming frameworks popularly used in artificial neural networks, including MXNet and Google's TensorFlow. Prior to the release of Deep Learning Studio in January 2017, proficiency in Python, among other programming languages, was essential in developing effective deep learning models. Deep Learning Studio sought to simplify the model creation process through a visual, drag-and-drop interface and the application of pre-trained learning models on available data. Irving, Texas–based Deep Cognition Inc. is the developer behind Deep Learning Studio. In 2017, the software allowed Deep Cognition to become a finalist for Best Innovation in Deep Learning in the Alconics Awards, which are given annually to the best artificial intelligence software. Deep Cognition launched version 2.0 of Deep Learning Studio at NVIDIA's GTC 2018 Conference in San Jose, California. Fremont, California–based computing products supplier Exxact Corp provides desktop computers specifically built to handle Deep Learning Studio workloads.

Tema degli esploratori: statistica e scienza dei dati (deposito sistematico; ricerca «artificial neural network»).
Fonte: Wikipedia in inglese, voce «Deep Learning Studio» — https://en.wikipedia.org/wiki/Deep_Learning_Studio
Wikidata Q55080166: «software tool» (dati Wikidata in CC0 1.0) — https://www.wikidata.org/wiki/Q55080166
Autori: i contributori di Wikipedia (cronologia: https://en.wikipedia.org/wiki/Deep_Learning_Studio?action=history).
Licenza: Creative Commons Attribuzione-Condividi allo stesso modo 4.0 (CC BY-SA 4.0) — https://creativecommons.org/licenses/by-sa/4.0/. Il riuso richiede attribuzione e stessa licenza.
Estratto dell'introduzione non modificato nel contenuto; revisione 1368041946, consultata il 2026-10-31T08:34:17.654Z tramite l'API ufficiale di Wikipedia. Impronta SHA-256 dell'estratto: 22b19592bf5b9ae67210ef7d6242a9aa435f4b70658c0288d22490069970b8e2