Deep Learning Studio
{{short description|Software tool}}
{{Orphan|date=August 2023}}
{{Infobox software
| name = Deep Learning Studio
| logo =
| screenshot =
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| developer = [http://deepcognition.ai Deep Cognition Inc.]
| released =
| latest release version =
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| programming language = Python
| operating system = Microsoft Windows, Ubuntu Linux
| genre = Deep learning
| license = Proprietary software
| website = [https://deeplearningstudio.com/ deeplearningstudio.com]
}}
Deep Learning Studio is a software tool that aims to simplify the creation of deep learning models used in artificial intelligence.{{Cite web|url=https://www.kdnuggets.com/2017/12/deep-learning-made-easy-deep-cognition.html|title=Deep Learning Made Easy with Deep Cognition|website=www.kdnuggets.com|language=en-US|access-date=2018-03-08}} 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.{{Cite news|url=https://dallasinnovates.com/deep-cognition-among-finalists-alconics-award/|title=Deep Cognition Among Finalists for Alconics Award » Dallas Innovates|last=Innovates|first=Dallas|date=2017-09-25|work=Dallas Innovates|access-date=2018-03-08|language=en-US}}
Deep Cognition launched version 2.0 of Deep Learning Studio at NVIDIA's GTC 2018 Conference in San Jose, California.{{Cite web|url=https://wikibon.com/ai-democratization-ibm-deep-cognition-cloudera/|title=AI Democratization: IBM, Deep Cognition, and Cloudera - Wikibon Research|website=wikibon.com|date=23 March 2018 |language=en-US|access-date=2018-03-28}}
Fremont, California–based computing products supplier Exxact Corp provides desktop computers specifically built to handle Deep Learning Studio workloads.{{Cite web|url=https://www.exxactcorp.com/Deep-Learning-Studio-Solutions|title=Deep Learning Studio Solutions {{!}} Exxact|website=www.exxactcorp.com|language=en-US|access-date=2018-03-15}}
Features
Deep Learning Studio is available in two versions: Desktop and Cloud, both of which are free software. The Desktop version is available on Windows and Ubuntu. The Cloud version is available in single-user and multi-user configurations.{{Cite web|url=https://aws.amazon.com/marketplace/seller-profile?id=69746f7d-1813-4e31-ba16-cc79f42fd257|title=AWS Marketplace: Deep Cognition|website=aws.amazon.com|language=en|access-date=2018-03-15}} A Deep Cognition account is needed to access the Cloud version. Account registration is free.
Deep Learning Studio can import existing Keras models; it also takes a data set as an input.
Deep Learning Studio's AutoML feature allows automatic generation of deep learning models. More advanced users may choose to generate their own models using various types of layers and neural networks.
Deep Learning Studio also has a library of loss functions and optimizers for use in hyperparameter tuning, a traditionally complicated area in neural network programming.
Generated models can be trained using either CPUs or GPUs. Trained models can then be used for predictive analytics.
See also
References
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External links
- [http://deepcognition.ai/ Official website]
- [http://deepcognition.ai/blog/ Official blog]
Category:Deep learning software
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