vm.tensorlayer.layers¶
Classes¶
class BatchNorm : Batch normalization layer. [Ioffe & Szegedy, 2015].
class Concat : Layer to concat tensors according to the given axis.
class Conv2d : 2d convolution layer.
class Dense : Fully connected layer.
class Elementwise : Layer to combine inputs by applying element-wise operation.
class Flatten : Layer to reshape input into a matrix.
class GlobalMaxPool2d : 2d global max pooling layer.
class GlobalMeanPool2d : 2d global mean pooling layer.
class MaxPool2d : 2d max pooling layer.
class MeanPool2d : 2d mean pooling layer.
class Layer : The base layer class.
class LayerList : Layer to stack a group of layers.
class Relu : Layer to apply the rectified linear unit. [Nair & Hinton, 2010].
class Reshape : Layer to change the dimensions of input.
class Transpose : Layer to permute the dimensions of input.