Convolution Layers¶
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class
npdl.layers.
Convolution
(nb_filter, filter_size, input_shape=None, stride=1, init='glorot_uniform', activation='relu')[source][source]¶ Convolution operator for filtering windows of two-dimensional inputs.
When using this layer as the first layer in a model, provide the keyword argument input_shape (tuple of integers, does not include the sample axis), e.g. input_shape=(3, 128, 128) for 128x128 RGB pictures.
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connect_to
(prev_layer=None)[source][source]¶ Propagates the given input through this layer (and only this layer).
Parameters: - prev_layer : previous layer
The previous layer to propagate through this layer.
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