Name: Shallow and Deep Learning Principles
Price: 177 CHF
Availability: InStock
ISBN: 9783031295546

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Zurich

Lausanne

Wohlen

Basel

Kriens

Winterthur

Bern

Dietikon

St. Gallen

Geneva

Springer

This book discusses artificial neural networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. The author first describes ANN implementation, which consists of at least three layers: an input layer, an output layer, and a hidden (intermediate) layer. The author states that it is necessary to develop an architecture that models not mathematical rules but rather the action and response variables that control the event and the reactions that may occur within it. The book explains the reasons and necessity of each ANN model, considering the similarities to previous methods and the philosophical and logical rules.

Actual product image Shallow and Deep Learning Principles (English, Hardcover, Zekai Sen, Zekâi Şen, Zeki Sen)

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