dropout2d pytorch

Solutions on MaxInterview for dropout2d pytorch by the best coders in the world

showing results for - "dropout2d pytorch"

29 Apr 2020

1class Net(nn.Module):
2    def __init__(self):
3        super(Net, self).__init__()
4        self.conv1 = nn.Conv2d(1, 10, kernel_size=5)
5        self.conv2 = nn.Conv2d(10, 20, kernel_size=5)
6        self.fc1 = nn.Linear(320, 50)
7        self.fc2 = nn.Linear(50, 10)
8
9    def forward(self, x):
10        x = F.relu(F.max_pool2d(self.conv1(x), 2))
11        x = F.relu(F.max_pool2d(F.dropout2d(self.conv2(x)), 2))
12        x = x.view(-1, 320)
13        x = F.relu(self.fc1(x))
14        x = F.dropout(x)
15        x = F.log_softmax(self.fc2(x))
16        return x
17

source

similar questions

pyqt5 qtreewidgetitem enable drop drag python how to compress pytorch model pytorch use multiple gpu dropdown in tkinter convolution operation pytorch pyqt5 drop down menu pytorch tabular nn dropout pytorch 1 7 pytorch squeeze torch unsqueeze pytorch rolling window torch unsqueze

queries leading to this page

nn identity categorical pytorch batchnorm batch norm pytorch torch activations layers pytorch sequential layer dropout linear layer pytorch torch batchnorm nn torch models list dropout2d and dropout in torch torch dropout2d torch dropuout torch nn sequential cuda pool pytorch pytorch nn dense pytorch import functional as f torch dropout vs dropout2d torch conv3d forward no loss forward pytorch nn rnn 28 nonlinearity 3d 27sigmoid 27 29 dropout2d pytorch for cnn pytorch criterion nn dropout nn conv2d pytorch parameters normalize probabilities nn pytorch pytorch add dropout pytorch loss functinos dropout linear pytorch batchnorm3d pytorch range nn sequential pytorch dropout nn dropout pytorch lstm conv2d in pytorch pytorch import f dropout pytorch pytorch fold normalization in convolution torch convolution nn dense torch torch logistic normalization torch batchnorm dropout pytorch default dropout activation function pytorch batchnorm 3d pytorch nn batchnorm pytorch dropout control pytorch dropout2d pytorch loss dropout2d pytorch pooliong torch pytorch dropout applying batchnorm1d in pytorch conv layer pytorch pytorch loss functions torch dropout2s nn module train dropout2d pytorch