Sentence examples for deep learning architecture from inspiring English sources

An empirical comparison of the deep learning architecture is done.

Open image in new window Fig. 7 Graphical representation of the proposed hybrid deep learning architecture.

In short the proposed algorithm is generic and can be used for any deep learning architecture.

The model has been designed using deep learning architecture with handcrafted features.

This associative memorization architecture is constructed by using deep learning architecture.

In this paper we present a 3D convolutional deep learning architecture to address these shortcomings.

Two well-established deep learning architectures are deep belief networks (DBNs) and convolutional neural networks (CNNs).

Convolutional neural networks are one of the most commonly studied deep learning architectures.

We show that deep learning architectures can capture these nonlinear spatio-temporal effects.

In this paper, we discuss some widely-used deep learning architectures and their practical applications.

The majority of deep learning architectures described in the literature primarily focus on extracting spatial features.