Sentence examples for learned weights from inspiring English sources

We model the connection weights so as to ensure learned weights lie in [0,1].

Deep Learning models can be trained on one task, and then fine-tuned on another task, otherwise known as transfer learning.16,17 Typically, fine-tuning involves locking all the previously learned weights bar those on the output layer.

If we provide the weights argument to the Caffe train command, the previously learned weights melt into our model, and the layers will match by name.

After we obtain the learned weights, we apply them to recalculate the similarity matrix ℳ.

The squared difference (error) between learned weights and the optimal (implanted) weights: SE(w) together with the squared error between the derived traits and simulated traits: SE y) are presented in Figure 4.

We calculated the squared difference between the learned weights w ^ and the true weights w, i.e., SE (w ) = | | w - w ^ | | 2 2 and the mean of squared residuals S E (y ) = (1 / n ) ∑ i = 1 n (y i - x i w ^ ) 2, and reported the values in plots.

By analyzing the influence of connected learned words, the learning weights for the unlearned words and dynamically updating of the network are studied and analyzed.

In the model, the learning weights are adjusted by the proposed anxious confident decayed brain emotional learning rules (ACDBEL).

Incorporating habituation, a nonassociative process of adaptation seen in living organisms, into ASP learning facilitates the gradual degradation or forgetting of already learnt weights to realize new and recent information while preserving some memory about old significant data.

The synaptic or learning weights are wedged between the input and hidden layers.

That is, the input layer learns weights that describe complete spectrogram patches.