Sentence examples for slow training from inspiring English sources

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Neural networks may face slow training depending on the network size.

Because of the slow training in MLP-BP, however, it is necessary to speed up the training time.

Usually, random initialisation will result in slow training, and often, the training will become trapped in a local minimum of the parameter space.

Extreme learning machine (ELM) was proposed into address the issue of slow training in conventional feedforward neural networks (Huang et al. 2006).

However, it was found that the slow training speed and difficulty in achieving a local minimum cannot be resolved in practical applications for the most commonly used back propagation neural networks (BPNN).

The second challenge is to deal with the data and the choice of initial parameters and attributes that can be nonlinear, complex, and numerous which may lead to slow training performance.

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