The pairing of Spark and TensorFlow should make the deep learning framework more attractive to developers who are creating models that need to run on large computing clusters.
In order to instantiate the framework, application models may be created based on the framework description.
In other words, a new data classifier will be created based on previously learned models.
Second, it should be possible that PBL processes can be created based on different PBL models and can be flexibly customized and applied to different learning contexts.
Further quantitative measures, such as scaled questionnaires, can be created based on the modified UTAUT model to measure the prediction rate of each UTAUT construct in the adoption of robotic-assisted surgery.
As a result, LLC models can be created on an immunocompetent murine background, such as C57BL, and true immune and toxicity responses can be evaluated with respect to targeted therapies and tumour growth.
We show that fictitious transverse mixing can be created by a numerical model based on rectangular grids, and that this problem can be controlled by formulating the problem in streamline-oriented coordinates.
The model is created based on models for the constituent binary subsystems.
The model was created on a one-kilogram (1 kg) basis of dry corn stover at a solids mass fraction of 30%.
3D new garment models are created on individual human models by compositing 3D parts from garment examples rather than 2D patterns.
