Table Of Contents
Table Of Contents

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

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

  • 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.


__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.


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.