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...
Главный автор: | Camuto, A |
---|---|
Другие авторы: | Holmes, C |
Формат: | Диссертация |
Язык: | English |
Опубликовано: |
2021
|
Предметы: |
Схожие документы
-
Resilience of Machine Learning Models in Anxiety Detection: Assessing the Impact of Gaussian Noise on Wearable Sensors
по: Abdulrahman Alkurdi, и др.
Опубликовано: (2024-12-01) -
Neural networks as data
по: Dupont, E
Опубликовано: (2022) -
Efficient neural network verification and training
по: De Palma, A
Опубликовано: (2023) -
On kernel and feature learning in neural networks
по: He, B
Опубликовано: (2022) -
Neural networks for inference, inference for neural networks
по: Webb, S
Опубликовано: (2018)