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Neuron Net
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Global constants | |
▼Defines Object types identified | Used to identify classes in a library |
Arrays | Used to identify array classes |
CPU | Used to identify classes with CPU calculation |
GPU | Used to identify classes with GPU calculation |
▼Defines for OpenCL kernels identified | Used as indexes when calling functions OpenCL |
▼Neuron Base | Describes the process for the Neuron Base |
Feed Forward proccess kernel | Describes the forward path process for the Neuron Base |
Gradients Calculation kernels | Describes the process of gradients calculation for the Neuron Base |
Updating Weights Calculation kernel | Describes the process of optimization weights for the Neuron Base |
▼Pooling layer's neuron | Describes the process for the Neuron of pooling layer |
Pooling layer's neuron Feed Forward | Describes the feed forward process for the Neuron of pooling layer |
Pooling layer's neuron Gradients Calculation kernels | Describes the gradient calculation process for the Neuron of pooling layer |
▼Convolution layer's neuron | Describes the process for the Neuron of convolution layer |
Convolution layer's neuron Feed Forward | Describes the feed forward process for the Neuron of convolution layer |
Convolution layer's neuron Gradients Calculation kernels | Describes the gradient calculation process for the Neuron of convolution layer |
Convolution layer's neuron Update weights kernels | Describes the optimization process for the Neuron of convolution layer |
▼Attention layer's neuron | Describes the process for the Neuron of attention layer |
Attention layer's neuron Feed Forward | Describes the feed forward process for the Neuron of attention layer |
Attention layer's neuron Gradients Calculation | Describes the gradients calculation process for the Neuron of attention layer |
Kernels of matrix normalization process | Describes the process of matrix normalization |
ENUM |