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.
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__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 thisBlock
and all of its children’s Parameters(default), also can returns the selectParameterDict
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 thisBlock
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
.