Applications of Machine Learning by Unknown

Author:Unknown
Language: eng
Format: epub
ISBN: 9789811533570
Publisher: Springer Singapore

2.Holt-Winters’ seasonal method forecasts the weights as inputs to train the hidden layers. It optimizes the weights required to train the hidden layers with a threshold limit that sets to reduce the use of hidden layers, and this tends to reduce the computational complexity.

3.Gradient boosting model acts as a learning rate parameter to compensate the signal attenuation errors in hidden layers using different learning rates. This parameter controls the network weight adjustment w.r.t the gradient loss.

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