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It is part of the "deep architecture" of American democracy and one that "existing political actors" have a stake in.
Let F denotes the deep architecture function.
Meanwhile, CNN is easily prone to overfitting with deep architecture.
The supervised information and the deep architecture are collaboratively explored.
In this section, we present the optimization of our deep architecture.
This introduces greater difficulties in learning a DAE with a deep architecture.
Therefore, there would be no point in having a deep architecture.
Results have shown that these deep architecture models have better performance than shallow conversion in some complex voice feature conversion.
Specifically, for the first stage, several deep architecture of Convolutional Neural Networks (CNNs) can be applied [5 8].
Section 3 presents the proposed fault diagnosis approach, where the deep architecture based on DBN is described in detail.
Its deep architecture nature grants deep learning the possibility of solving much more complicated AI tasks (Bengio, [42]) [2].
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