Test
Deep Learning
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Preguntas del test (9)
1Who introduced the hard tangent nonlinearity?
- ADugas et al. (2001)
- BCollobert et al. (2004)
- CNair and Hinton (2010)
- DJarrett et al. (2009)
2Who was the first to publish experimental results comparing the softplus and ReLU rectifier linear units?
- ADugas et al. (2001)
- BNair and Hinton (2010)
- CGlorot et al. (2011)
- DJarrett et al. (2009)
3Who introduced the leaky ReLU nonlinearity?
- AMaas et al. (2013)
- BHe et al. (2015)
- CJarrett et al. (2009)
- DGoodfellow et al. (2013)
4Who introduced the parametric ReLU (PReLU) nonlinearity?
- AJarrett et al. (2009)
- BMaas et al. (2013)
- CHe et al. (2015)
- DGoodfellow et al. (2013)
5Who introduced the maxout units into the field?
- AGoodfellow et al. (2013)
- BMaas et al. (2013)
- CJarrett et al. (2009)
- DHe et al. (2015)
6The max pooling operation was introduced in:
- AZhou and Chellappa (1988)
- BLecun (1989)
- CBoureau et al. (2010)
- DSzegedy et al. (2014a)
7The softplus function is defined as:
- A\[f(x)=\log\left(1 + e^{x}\right)\]
- B\[f(x)=\frac{e^{x}}{1+e^{x}}\]
- C\[f(x)=\max(0,x)\]
- D\[f(x)=\log\left(1 + e^{-x}\right)\]
8When using a parameter norm regularizer for deep networks, it is typical to:
- Aapply the norm to the vector to the entire parameter vector
- Bapply the norm to the weight vector but not to the bias
- Capply the norm to the bias alone, as the weights add little variance to the model
9The technique of adding an L2 parameter regularization term to the objective function is also called:
- Aweight decay
- Bridge regression
- CTikhonov regularization
Información
- Descripción
- Computer Studies Test sobre Deep Learning, creado por Stefan Mathe el 25/07/2017.
- Autor
- Stefan Mathe
- Idioma
- English
- Visitas
- 1
- Etiquetas
- Valoración
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