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originates from a complex non-Gaussian distribution, it can be well-approximated because the CLT allows it to be simplified to a Gaussian distribution.
# The second reason is that the model's accuracy depends on the simplicity and representational power of the model unit, as well as the data quality. The simplicity of the unit makes it easy to interpret and scale, while the representational power and scalability improve model accuracy. In a deep neural network,

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