Sentence examples for weight updates from inspiring English sources

We implemented the LSTM with a single hidden layer, 0.01 of learning rate for weight updates, and a stochastic gradient-based optimization algorithm [27] for weight optimization.

Further, the computation for the weight updates is more direct and therefore avoids performing the costly optimization scheme used in [24].

Sigmoid functions are also valued because of their easy calculable derivatives, which is useful for calculating the weight updates in certain training algorithms.

It was demonstrated recently, however, that a combination of independent simulations that communicate weight updates at variable intervals allows for the efficient utilization of parallel computational resources for multicanonical simulations.

Random backpropagation (RBP) is a variant of the backpropagation algorithm for training neural networks, where the transpose of the forward matrices are replaced by fixed random matrices in the calculation of the weight updates.

The weight updates are calculated based on: varDelta w_{ij} left( t right) = - eta frac{partial E}{{partial w_{ij} }} + mu Delta W_{ij} left( {t - 1} right) (5).

Figure 9 Illustration of the weight updating.

A new weight update is defined.

Adaptive control with two different weight updating algorithms is discussed.

Then, the weights are updated using the multiplicative weight update technique proposed in [36, 37].

The weight updating takes place following the above equation #3.