Understanding Gaussian noise injections in neural networks
<p>Deep Learning (read neural networks) has emerged as one of the most exciting and powerful tools in the statistical machine learning toolbox. Neural networks over the past decade have defeated incumbent state of the art models in computer vision, natural language processing, and reinforcemen...
Autore principale: | Camuto, A |
---|---|
Altri autori: | Holmes, C |
Natura: | Tesi |
Lingua: | English |
Pubblicazione: |
2021
|
Soggetti: |
Documenti analoghi
Documenti analoghi
-
Resilience of Machine Learning Models in Anxiety Detection: Assessing the Impact of Gaussian Noise on Wearable Sensors
di: Abdulrahman Alkurdi, et al.
Pubblicazione: (2024-12-01) -
Neural networks as data
di: Dupont, E
Pubblicazione: (2022) -
Efficient neural network verification and training
di: De Palma, A
Pubblicazione: (2023) -
On kernel and feature learning in neural networks
di: He, B
Pubblicazione: (2022) -
Neural networks for inference, inference for neural networks
di: Webb, S
Pubblicazione: (2018)