why is sensitivity analysis frequently used for artificial neural networks? because it is required by all major artificial neural networks because some consequences of mistakes by the network might be fatal, so justification may matter because it is generally informative, although it cannot help to identify cause-and-effect relationships among variables because it provides a complete description of the inner workings of the artificial neural network

A neural network is a type of artificial intelligence that gives computers instructions on how to interpret data in a way that is similar to how the human brain does it. It is a type of computer vision that imitates the human brain by using linked cells or networks in a hierarchical framework.

What does the term "artificial neural network" mean?

Deep learning techniques are based on neural networks, commonly referred to as neural nets (ANNs), which are a part of machine learning. Their structure and nomenclature are modeled after the human brain, mirroring the communication between organic neurons.

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