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.

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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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