Abstract
In this chapter, we will cover the most generic version of neural networks, feedforward neural networks. Feedforward neural networks are a group of artificial neural networks in which the connections between neurons do not form a cycle. Connections between neurons are unidirectional and move in only forward direction from input layer through hidden layers and to output later. In other words, the reason these networks are called feedforward is that the flow of information takes place in the forward direction.
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© 2021 Orhan Gazi Yalçın
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Yalçın, O.G. (2021). Feedforward Neural Networks. In: Applied Neural Networks with TensorFlow 2. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-6513-0_6
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DOI: https://doi.org/10.1007/978-1-4842-6513-0_6
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