Deep Learning Sample Clauses

Deep Learning. Deep learning is a reflection of the increased complexity and advanced computing power which is now widely available (45,52,61,85). It has also been termed deep neural networks and deep neural learning and the terms are interchangeable. Deep learning is a system of XXXx applied in more complex and ‘fuzzy’ ways. This typically involved much larger data sets that previously used for ANNs, which due to its size is often unlabeled data. Deep learning mostly operates mostly through unsupervised learning, where there are no pre-defined outcomes for the XXX other than to find significant associations. These large datasets often involved millions of individual data entries, often taken from web-based data mining sources, such as photo images on the internet. A significant advance in deep learning is where an unsupervised neural network with deep learning capabilities has learned to assess and identify images on the internet, which now enables Google image search. Often the trained unsupervised network will require validation at some point, and this becomes a huge task once the volume of data expands into millions of examples. One way that this has been circumnavigated is to recruit humans to test the network. When Google bought Captcha, an anti-bot security system, in 2009 it found that it could use the requirements of humans to pass an online Turing test (the ‘I am not a robot’ security programme) to test its own XXX DeepMind (86). The DeepMind network had been tasked with looking at images on the internet, finding new ways to categorise, recognize and label the images. Unfortunately there needed to be external validation, and this came in the form of asking humans what was on certain images during security tests, and seeing if this matched with previous human replies and those of DeepMind itself (87).
Sample 1
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Deep Learning. The parties acknowledge that deep learning refers to a subset of ML based on artificial neural networks that have multiple layers of connected artificial neuron nodes processing data.
Sample 1

Related to Deep Learning

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