Sentence examples for representations learnt from inspiring English sources

Figure 3a, b shows the representations learnt with traditional exponential STDP learning25 against the adaptive plasticity-based learning.

The representations learnt on the last layer can be used for different tasks.

SVM classifier employs the generic representation learnt for vessel type classification, whereas CNN employs a representation specifically learnt for predicting attributes.

In this paper, we present a fast face detection algorithm based on representation learnt using convolutional neural network (CNN) so as to explicitly capture various latent facial features.

Domain adaptation during learning is an important focus of study in Deep Learning [57],[58], where the distribution of the training data (from which the representations are learnt) is different from the distribution of the test data (on which the learnt representations are deployed).

The proposed approach, termed as cssRBM, enforces sparsity at the class level to ensure that coherent and discriminative representations are learnt during training.

The first layer is then trained based on this data, and the output of the first layer (the first level of learnt representations) is provided as learning data to the second layer.

However, the significant correlations, between the true values and predicted values for vessels belonging to the same types, show that learnt representations, capturing visual cues, are effective in attribute prediction.

If hippocampal damage facilitates discrimination learning by impairing encoding of the spatial properties of cues then the stimulus representations that are learnt during acquisition will be qualitatively different between hippocampal lesioned animals and normal animals.

We consider a dictionary learning problem aimed at designing a dictionary such that the signals admit a sparse or an approximate sparse representation over the learnt dictionary.

One possible scenario is that hippocampal activity patterns during a given 50% morph trial reflect reinstatements of the entire original learnt representation (e.g., 100% scene A), a process consistent with the operation of a bistable attractor network, and one that might plausibly be viewed to induce participants to choose one response over another.