NeuralLayer

accumulate_grad void accumulate_grad(float[] grad): Undocumented in source. Be warned that the author may not have intended to support it.
accumulate_grad void accumulate_grad(SparseF[] grad): Undocumented in source. Be warned that the author may not have intended to support it.
allocate_grad_params void allocate_grad_params(): Undocumented in source. Be warned that the author may not have intended to support it.
allocate_interface void allocate_interface(): Undocumented in source. Be warned that the author may not have intended to support it.
allocate_params void allocate_params(): Undocumented in source. Be warned that the author may not have intended to support it.
backward_prop void backward_prop(V[] grad): Undocumented in source. Be warned that the author may not have intended to support it.
deser void deser(Serializer s): Undocumented in source. Be warned that the author may not have intended to support it.
deserialize void deserialize(Serializer s): Undocumented in source. Be warned that the author may not have intended to support it.
dup NeuralLayer dup(): Undocumented in source. Be warned that the author may not have intended to support it.
forward_prop void forward_prop(): Undocumented in source. Be warned that the author may not have intended to support it.
init void init(double random_scale): Undocumented in source. Be warned that the author may not have intended to support it.
post_learning void post_learning(): Undocumented in source. Be warned that the author may not have intended to support it.
pre_learning void pre_learning(): Undocumented in source. Be warned that the author may not have intended to support it.
predict void predict(): Undocumented in source.
recompute_topology void recompute_topology(): Undocumented in source. Be warned that the author may not have intended to support it.
reset void reset(): Undocumented in source. Be warned that the author may not have intended to support it.
ser void ser(Serializer s): Undocumented in source. Be warned that the author may not have intended to support it.
serialize void serialize(Serializer s): Undocumented in source. Be warned that the author may not have intended to support it.
set_name void set_name(string name_): Undocumented in source. Be warned that the author may not have intended to support it.
set_optimizer void set_optimizer(Optimizer opt_): Undocumented in source. Be warned that the author may not have intended to support it.
set_type void set_type(LayerT t): Undocumented in source. Be warned that the author may not have intended to support it.
share_params void share_params(NeuralLayer layer): Undocumented in source. Be warned that the author may not have intended to support it.
toString string toString(): Undocumented in source. Be warned that the author may not have intended to support it.

Properties

learnable bool learnable [@property getter]: whether or not this layer has any parameters to be learnt
num_params ulong num_params [@property getter]: Undocumented in source.
optimizer_set optimizer_set [@property getter]: Undocumented in source. Be warned that the author may not have intended to support it.

Static functions

not_learnable_branch bool not_learnable_branch(NeuralLayer layer): Undocumented in source. Be warned that the author may not have intended to support it.

Variables

_learnable bool _learnable;: Undocumented in source.
backgrads float[][] backgrads;: array of gradients to backpropagate to parents
children NeuralLayer[] children;: array referencing all the children of this layer
dim_in size_t dim_in;: total input dimension of this layer (sum of output dimensions of its parents)
dim_out size_t dim_out;: total output dimension of this layer
name string name;
optimizer Optimizer optimizer;: Undocumented in source.
out_d float[] out_d;: dense output vector of this layer (might be unused)
out_s SparseF[] out_s;: sparse output vector of this layer (might be unused)
parents NeuralLayer[] parents;: array referencing all the parents of this layer
type LayerT type;

NeuralLayer

Constructors

Members

Functions

Properties

Static functions

Variables

Meta

Source