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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 |