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Apollo
6.0
Open source self driving car software
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Go to the source code of this file.
Classes | |
| class | apollo::prediction::network::Layer |
| Layer is a base class for specific network layers It contains a pure virtual function Run which must be implemented in derived class. More... | |
| class | apollo::prediction::network::Dense |
| Dense is the forward fully connected network layer. Dense layer output is y = f(x*w + b), where x is the input, w the weight, b the bias and f the activation. More... | |
| class | apollo::prediction::network::Conv1d |
| Conv1d is the convolution 1d network layer. Conv1d layer output is y = Conv(x, w), where x is the input, w the weight. More... | |
| class | apollo::prediction::network::MaxPool1d |
| MaxPool1d is the max Pool 1d network layer. More... | |
| class | apollo::prediction::network::AvgPool1d |
| AvgPool1d is the average Pool 1d network layer. More... | |
| class | apollo::prediction::network::Activation |
| Activation is an activation network layer. Activation layer output is y = f(x), where x is the input, y the output and f the activation function. More... | |
| class | apollo::prediction::network::BatchNormalization |
| class | apollo::prediction::network::LSTM |
| For a step-by-step description of the algorithm, see this tutorial. More... | |
| class | apollo::prediction::network::Flatten |
| class | apollo::prediction::network::Input |
| class | apollo::prediction::network::Concatenate |
Namespaces | |
| apollo::prediction::network | |
| apollo::prediction::network | |
| apollo | |
| PlanningContext is the runtime context in planning. It is persistent across multiple frames. | |
| apollo::prediction | |
| apollo::prediction | |
1.8.13