What are the convolutional layers and Local layers in lasagne?
In this recipe, we will see what are the convolutional layers and Local layers in lasagne layers.
Recipe Objective - What are the convolutional layers and Local layers in lasagne layers?
Convolutional layers:-
1. Conv1DLayer - The 1D convolutional layer
2. Conv2DLayer - The 2D convolutional layer
3. Conv3DLayer - The 3D convolutional layer
4. TransposedConv2DLayer - The 2D transposed convolution layer
5. DilatedConv2DLayer - The 2D dilated convolution layer
List of Classification Algorithms in Machine Learning
Local layers:-
1. LocallyConnected2DLayer - The 2D locally connected layer
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Example of Convolutional Layer:-
from lasagne.layers import Conv2DLayer, TransposedConv2DLayer
conv = Conv2DLayer((None, 1, 32, 32), 16, 3, stride=2, pad=2)
deconv = TransposedConv2DLayer(conv, conv.input_shape[1],
conv.filter_size, stride=conv.stride, crop=conv.pad,
W=conv.W, flip_filters=not conv.flip_filters)
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