Sentence examples for trained the autoencoder from inspiring English sources

We first trained the autoencoder without whitening processing.

To deal with that issue, the researchers developed a data augmentation methodology that involves training the autoencoder on recipes for producing not only the specified target material but also materials that are similar to it.

The STA extracts features from raw data by corrupting the clean data by adding some noise or simply randomly setting some elements to 0, then trains the autoencoder with the corrupted data as input and the clean data as target in the end.

We trained the sparse autoencoder using a set of m d =5×105 true disparity patches of the stereo images used during the training of deep deconvolutional network.

We now provide the parameters used while training the sparse autoencoder.

Using the known disparity patches, we can train the sparse autoencoder to learn the weights (W,U,r,s).

Finally, an iterative two-phase algorithm is proposed to estimate the dense disparity map where in phase one, sparse representation of disparities are inferred from the trained sparse autoencoder, and IGMRF parameters are computed, keeping the disparity map fixed and in phase two, the disparity map is refined by minimizing the energy function using graph cuts, with other parameters fixed.

With the trained sparse autoencoder and softmax classifer, we extract high-level features (i.e., spatial information of the sources) from the low-level features of the mixtures and generate the soft mask based on the softmax regression.

They used reverberant and dereverberant speech to train the deep recurrent denoising autoencoder.

The first hidden layer was trained as an autoencoder to reduce the dimensionality of the feature space in an unsupervised manner.

The training time for the autoencoder is large, but is offline and hence does not affect performance during operation.