The phrase "a large amount of parameters" is not correct in standard English; it should be "a large number of parameters." You can use it when discussing the quantity of parameters in a technical or analytical context, such as in programming or data analysis.
Example: "The model was complex, requiring a large number of parameters to function effectively."
Alternatives: "a significant number of parameters" or "a considerable amount of parameters."
All admit that a large amount of parameters of DNNs allow great potential to learn complex speech and noise patterns and their class boundaries.
Particularly, DNNs involve very flexible and compact structures: they usually consist of a large amount of parameters, and the parameters are highly shared among feature dimensions and task targets (phones or states).
Fourth, in this patient cohort of modest size a large amount of parameters were investigated, which may increase the risk of chance findings.
Then a large amount of parameter analysis is conducted to investigate the influence of the elastic supported stiffness, load type, rise-to-span ratio, and slenderness on the ultimate resistance.
Although ATG characterizes unknown testing conditions more precisely using a larger amount of parameters, over-fitting issues occur when the available adaptation data is especially limited.
Indeed, the latter entails the availability of a large amount of data, parameters' cruciality.
Designing of high-stiffness composite profiles for application in production machines is a complicated task with a large amount of input parameters.
This approach is likely to be more accurate than trying to incorporate information regarding the entire network, much of which is irrelevant and likely inaccurate due to a large amount of kinetic parameters that need to be estimated [40] [42].
Due to a large amount of action principles and parameters involved, the calculation in modified model is complex, with fluctuations existing in the data.
Evaluating the performance of McGM is a hard task, mainly due to the large amount of parameters that can be modified in order to tune the algorithm behavior.
Periods of high parameter sensitivity contain a large amount of information for identifying a given parameter; following Wagener et al. ([2003]), we term them periods of high "parameter identifiability".
