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The number of layers, activations, and dropout percentage all are optimized during training. I use the AdamOptimiser with a cyclic function learning rate. Not really. However, maybe it provides a slightly biased random number generator.

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They are essentially trainable algorithms that try to emulate certain aspects of the functioning of the human brain. This gives them a unique, self-training ability, the ability to formalize unclassified information and, most importantly, the ability to make forecasts based on the historical information they have at their disposal. Neural networks have been used increasingly in a variety of business applications, including forecasting and marketing research solutions. In some areas, such as fraud detection or risk assessmentthey are the indisputable leaders.

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