Abstract
In the previous chapters, we covered feedforward NNs, CNNs, and RNNs. These networks are predominantly used for supervised learning tasks. In this chapter, we focus on autoencoders, a neural network architecture which is mainly used for unsupervised learning tasks.
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Notes
- 1.
Intro to Autoencoders, TensorFlow, available on www.tensorflow.org/tutorials/generative/autoencoder
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© 2021 Orhan Gazi Yalçın
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Yalçın, O.G. (2021). Autoencoders. In: Applied Neural Networks with TensorFlow 2. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-6513-0_11
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DOI: https://doi.org/10.1007/978-1-4842-6513-0_11
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Publisher Name: Apress, Berkeley, CA
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