Compression of models and data in deep learning
We face many challenges in deploying high-performance neural networks in practice. These challenges are predominantly due to the size of neural networks and apply to both training and inference. Compressing neural networks to make them train and run more efficiently is therefore crucial and has been...
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| Format: | Thesis |
| Language: | English |
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2022
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