self.conv1 = nn.Conv2d( 1, 32, kernel_size=7, stride=4, padding=3)
self.conv2 = nn.Conv2d( 32, nb_channels, kernel_size=5, padding=2)
self.conv3 = nn.Conv2d(nb_channels, nb_channels, kernel_size=3, padding=1)
self.conv4 = nn.Conv2d(nb_channels, nb_channels, kernel_size=3, padding=1)
self.conv5 = nn.Conv2d(nb_channels, nb_channels, kernel_size=3, padding=1)
self.conv1 = nn.Conv2d( 1, 32, kernel_size=7, stride=4, padding=3)
self.conv2 = nn.Conv2d( 32, nb_channels, kernel_size=5, padding=2)
self.conv3 = nn.Conv2d(nb_channels, nb_channels, kernel_size=3, padding=1)
self.conv4 = nn.Conv2d(nb_channels, nb_channels, kernel_size=3, padding=1)
self.conv5 = nn.Conv2d(nb_channels, nb_channels, kernel_size=3, padding=1)