Abstract
So far, neural networks were useful for two main types of important problems: regression and classification problems. While pursuing regression a neural network with a one-dimensional output has been used, which is having a linear activation function in the output layer. In the case of classification problems it is useful to employ a neural network with a multidimensional output, which is having a softmax activation function in the output layer.
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Calin, O. (2020). Generative Models. In: Deep Learning Architectures. Springer Series in the Data Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-36721-3_19
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DOI: https://doi.org/10.1007/978-3-030-36721-3_19
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