class TemporalConvolution

Class for doing a convolution over a sequence.

Inheritance:


Public Fields

[more]int k_w
Kernel size
[more]int d_t
Time translation after one application of the kernel
[more]real** weights
weights[i] means kernel-weights for the i-th component of output frames.
[more]real** der_weights
Derivatives associated to weights
[more]real* biases
biases[i] is the bias for the i-th component of output frames
[more]real* der_biases
Derivatives associated to biases

Public Methods

[more] TemporalConvolution(int input_frame_size, int output_frame_size, int k_w_=5, int d_t_=1)
Create a convolution layer


Inherited from GradientMachine:

Public Fields

oint n_inputs
oint n_outputs
oParameters* params
oParameters* der_params
oSequence* beta

Public Methods

ovirtual void iterInitialize()
ovirtual void forward(Sequence* inputs)
ovirtual void backward(Sequence* inputs, Sequence* alpha)
ovirtual void setPartialBackprop(bool flag=true)
ovirtual void frameForward(int t, real* f_inputs, real* f_outputs)
ovirtual void frameBackward(int t, real* f_inputs, real* beta_, real* f_outputs, real* alpha_)
ovirtual void loadXFile(XFile* file)
ovirtual void saveXFile(XFile* file)


Inherited from Machine:

Public Fields

oSequence* outputs

Public Methods

ovirtual void reset()
ovirtual void setDataSet(DataSet* dataset_)


Inherited from Object:

Public Fields

oAllocator* allocator

Public Methods

ovoid addOption(const char* name, int size, void* ptr, const char* help="")
ovoid addIOption(const char* name, int* ptr, int init_value, const char* help="")
ovoid addROption(const char* name, real* ptr, real init_value, const char* help="")
ovoid addBOption(const char* name, bool* ptr, bool init_value, const char* help="")
ovoid addOOption(const char* name, Object** ptr, Object* init_value, const char* help="")
ovoid setOption(const char* name, void* ptr)
ovoid setIOption(const char* name, int option)
ovoid setROption(const char* name, real option)
ovoid setBOption(const char* name, bool option)
ovoid setOOption(const char* name, Object* option)
ovoid load(const char* filename)
ovoid save(const char* filename)
ovoid* operator new(size_t size, Allocator* allocator_=NULL)
ovoid* operator new(size_t size, Allocator* allocator_, void* ptr_)
ovoid operator delete(void* ptr)


Documentation

Class for doing a convolution over a sequence.

For each component of output frames, it computes the convolution of the input sequence with a kernel of size k_w (over the time).

Note that, depending of the size of your kernel, several (last) frames of the input sequence could be lost.

Note also that no non-linearity is applied in this layer.

oint k_w
Kernel size

oint d_t
Time translation after one application of the kernel

oreal** weights
weights[i] means kernel-weights for the i-th component of output frames. weights[i] contains input_frame_size times k_w weights.

oreal** der_weights
Derivatives associated to weights

oreal* biases
biases[i] is the bias for the i-th component of output frames

oreal* der_biases
Derivatives associated to biases

o TemporalConvolution(int input_frame_size, int output_frame_size, int k_w_=5, int d_t_=1)
Create a convolution layer


This class has no child classes.
Author:
Ronan Collobert (collober@idiap.ch)

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