Table Of Contents
Table Of Contents

mxnet.gluon.model_zoo.vision.DenseNet

class mxnet.gluon.model_zoo.vision.DenseNet(num_init_features, growth_rate, block_config, bn_size=4, dropout=0, classes=1000, **kwargs)[source]

Densenet-BC model from the “Densely Connected Convolutional Networks” paper.

Parameters
  • num_init_features (int) – Number of filters to learn in the first convolution layer.

  • growth_rate (int) – Number of filters to add each layer (k in the paper).

  • block_config (list of int) – List of integers for numbers of layers in each pooling block.

  • bn_size (int, default 4) – Multiplicative factor for number of bottle neck layers. (i.e. bn_size * k features in the bottleneck layer)

  • dropout (float, default 0) – Rate of dropout after each dense layer.

  • classes (int, default 1000) – Number of classification classes.

__init__(num_init_features, growth_rate, block_config, bn_size=4, dropout=0, classes=1000, **kwargs)[source]

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(num_init_features, growth_rate, …)

Initialize self.

apply(fn)

Applies fn recursively to every child block as well as self.

cast(dtype)

Cast this Block to use another data type.

collect_params([select])

Returns a ParameterDict containing this Block and all of its children’s Parameters(default), also can returns the select ParameterDict which match some given regular expressions.

export(path[, epoch])

Export HybridBlock to json format that can be loaded by SymbolBlock.imports, mxnet.mod.Module or the C++ interface.

forward(x, *args)

Defines the forward computation.

hybrid_forward(F, x)

Overrides to construct symbolic graph for this Block.

hybridize([active])

Activates or deactivates HybridBlock s recursively.

infer_shape(*args)

Infers shape of Parameters from inputs.

infer_type(*args)

Infers data type of Parameters from inputs.

initialize([init, ctx, verbose, force_reinit])

Initializes Parameter s of this Block and its children.

load_parameters(filename[, ctx, …])

Load parameters from file previously saved by save_parameters.

load_params(filename[, ctx, allow_missing, …])

[Deprecated] Please use load_parameters.

name_scope()

Returns a name space object managing a child Block and parameter names.

register_child(block[, name])

Registers block as a child of self.

register_forward_hook(hook)

Registers a forward hook on the block.

register_forward_pre_hook(hook)

Registers a forward pre-hook on the block.

save_parameters(filename)

Save parameters to file.

save_params(filename)

[Deprecated] Please use save_parameters.

summary(*inputs)

Print the summary of the model’s output and parameters.

Attributes

name

Name of this Block, without ‘_’ in the end.

params

Returns this Block’s parameter dictionary (does not include its children’s parameters).

prefix

Prefix of this Block.