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Thesis

Encoder-decoder neural networks

Abstract:

This thesis introduces the concept of an encoder-decoder neural network and develops architectures for the construction of such networks. Encoder-decoder neural networks are probabilistic conditional generative models of high-dimensional structured items such as natural language utterances and natural images. Encoder-decoder neural networks estimate a probability distribution over structured items belonging to a target set conditioned on structured items belonging to a source set....

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University of Oxford
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Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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