Public Member Functions | |
| ConvolutionalLayerBackPropagation (const Index &new_batch_samples_number, Layer *new_layer_pointer) | |
| void | set (const Index &new_batch_samples_number, Layer *new_layer_pointer) |
| void | print () const |
Public Member Functions inherited from LayerBackPropagation | |
| LayerBackPropagation () | |
| Default constructor. More... | |
Public Attributes | |
| const Index | neurons_number = layer_pointer->get_neurons_number() |
| const Index | inputs_nmumber = layer_pointer->get_inputs_number() |
| Tensor< type, 4 > | delta |
| Tensor< type, 4 > | biases_derivatives |
| Tensor< type, 4 > | synaptic_weights_derivatives |
Public Attributes inherited from LayerBackPropagation | |
| Index | batch_samples_number = 0 |
| Layer * | layer_pointer = nullptr |
Definition at line 285 of file convolutional_layer.h.
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inlineexplicit |
Definition at line 290 of file convolutional_layer.h.
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inlineexplicit |
Definition at line 295 of file convolutional_layer.h.
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inlinevirtual |
Reimplemented from LayerBackPropagation.
Definition at line 307 of file convolutional_layer.h.
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inlinevirtual |
Reimplemented from LayerBackPropagation.
Definition at line 302 of file convolutional_layer.h.
| Tensor<type, 4> biases_derivatives |
Definition at line 313 of file convolutional_layer.h.
| Tensor<type, 4> delta |
Definition at line 311 of file convolutional_layer.h.
| const Index inputs_nmumber = layer_pointer->get_inputs_number() |
Definition at line 288 of file convolutional_layer.h.
| const Index neurons_number = layer_pointer->get_neurons_number() |
Definition at line 287 of file convolutional_layer.h.
| Tensor<type, 4> synaptic_weights_derivatives |
Definition at line 315 of file convolutional_layer.h.