Sentence examples for latent layers from inspiring English sources

If the number of latent layers is k, then we can capture the relationships between x t with its following k − 2 words.

In Fig. 1, the arrows denote the dependences of data between neural cells; x t and y t are input and output of the t-th words respectively, and the dimension of latent layers is much smaller than the dimension of the input one-hot vector.

However, because of the hierarchy of PPINs, we can extract hierarchical latent layers hidden in the networks that explain the evolution of network structures and protein functions.

The msiDBN model tries to find the latent layers H l (t ), representing the hidden variables of the lth layer for the tth network and the symmetrical weighted connections between input layers and hidden layers, that is, W l (t ).

Then, they add a latent layer to the network and have neurons in this layer learn hashes-like representations while fine-tuning it on the target domain dataset.

The supervised semantics-preserving deep hashing in [23] constructs the hash functions as a latent layer between image representations and classification outputs in CNN.

In the proposed four-latent-layer feedback recurrent neural network, we can capture the relationships between x t with x t + 1 and x t + 2.

In this paper, we use a four-latent-layer recurrent neural network to compute the embedded vector for each document, and the structure of the proposed neural network is in Fig. 1.

In our example analyses, we have considered the predictive performance of the Bayesian multilocus association model and the Bayesian G-BLUP per se and with the three different latent variable layers, with two different data sets.

Next, the latent hash layer is added to the AlexNet, and learn hashes-like representations to minimize the loss between the original feature descriptors and the learned binary vectors.

In Figure 1 the hierarchical formulation is observable as the fourth, latent parameters, layer.