Top "Dropout" questions

Dropout is a technique to reduce overfitting during the training phase of a neural network.

Using Dropout in Pytorch: nn.Dropout vs. F.dropout

By using pyTorch there is two ways to dropout torch.nn.Dropout and torch.nn.functional.Dropout. I struggle to …

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ReLu and Dropout in CNN

I am studying Convolutional Neural Networks. I am confused about some layers in CNN. Regarding ReLu... I just know that …

neural-network deep-learning dropout
Keras: the difference between LSTM dropout and LSTM recurrent dropout

From the Keras documentation: dropout: Float between 0 and 1. Fraction of the units to drop for the linear transformation of the …

keras lstm dropout
How to understand SpatialDropout1D and when to use it?

Occasionally I see some models are using SpatialDropout1D instead of Dropout. For example, in the Part of speech tagging …

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PyTorch - How to deactivate dropout in evaluation mode

This is the model I defined it is a simple lstm with 2 fully connect layers. import copy import torch import …

python deep-learning lstm pytorch dropout
Implementing dropout from scratch

This code attempts to utilize a custom implementation of dropout : %reset -f import torch import torch.nn as nn # import …

machine-learning deep-learning pytorch dropout