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Aura Pro is a unique grid expert based on deep machine learning, hyperparameter search technology. In machine learning, hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter which value is used to control the learning process. By contrast, the values of other parameters (typically node weights) are learned. The same kind of machine learning model can require different constraints, weights or learning rates to generalize different data patterns. These measures are called hyperparameters, and have to be tuned so that the model can optimally solve the machine learning problem. Hyperparameter optimization finds a tuple of hyperparameters that yields an optimal model which minimizes a predefined loss function on given independent data.
In total, no more than 100 copies will be sold at MQL, to maintain exclusivity of the Expert Advisor.
Price: $445 2 of 10 copies left at this price
Next price $595
MT4 version https://www.mql5.com/en/market/product/72976
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https://www.mql5.com/en/signals/1191406
https://www.mql5.com/ru/signals/1217364
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