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Original author(s) | Various |
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Developer(s) | Various |
Stable release | 1.0.1
/ 15 January 2017 |
Written in | Python |
Operating system | Linux, OS X, Windows |
Platform | Cloud Computing |
Available in | English |
Type | deep learning, machine vision, artificial intelligence, Natural language processing |
License | Proprietary |
Website | deepcognition |
Part of a series on |
Machine learning and data mining |
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Deep Learning Studio is a GUI based deep learning cloud platform and on-premises software. Deep Learning Studio's main focus is to make Deep Learning accessible to non-programmers. It supports building of various different types of Artificial neural network including fully connected network, Convolutional neural network, Recurrent neural network and LSTM networks. It supports automatic encoding of various data types for example one hot encoding of categorical values.
History
editDeep Learning Studio's development started in Jan 2016 with Rajendra Singh, Krisha Kishore and Mandeep Kumar as main contributors. First public release of Deep Learning Studio was done in Jan 2017. Currently it uses a propitiatory cloud and runs TensorFlow and Theano (software) for computations.
Features
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Category:Artificial neural networks
Category:Data mining and machine learning software
Category:Deep learning
Category:Image processing
Category:Machine learning
Category:Free statistical software
Category:Natural language processing
Category:Cluster computing
Category:Applied machine learning
Category:Information technology companies of the United States