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ConvNet
1.0
A GPU-based C++ implementation of Convolutional Neural Nets
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ConvNet
1.0
A GPU-based C++ implementation of Convolutional Neural Nets
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This is the complete list of members for Optimizer, including all inherited members.
| AllocateMemory(const int rows, const int cols) (defined in Optimizer) | Optimizer | virtual |
| ApplyConstraints(Matrix ¶meter) (defined in Optimizer) | Optimizer | protected |
| ChooseOptimizer(const config::Optimizer &config) (defined in Optimizer) | Optimizer | static |
| epsilon_ (defined in Optimizer) | Optimizer | protected |
| epsilon_decay_timescale_ (defined in Optimizer) | Optimizer | protected |
| epsilon_decay_type_ (defined in Optimizer) | Optimizer | protected |
| GetDecayedEpsilon() const (defined in Optimizer) | Optimizer | protected |
| IsAllocated() (defined in Optimizer) | Optimizer | inlinevirtual |
| l2_decay_ (defined in Optimizer) | Optimizer | protected |
| LoadParameters(hid_t file, const string &prefix) (defined in Optimizer) | Optimizer | virtual |
| minimum_epsilon_ (defined in Optimizer) | Optimizer | protected |
| Optimize(Matrix &gradient, Matrix ¶meter)=0 (defined in Optimizer) | Optimizer | pure virtual |
| Optimizer(const config::Optimizer &optimizer_config) (defined in Optimizer) | Optimizer | |
| ReduceLearningRate(float factor) (defined in Optimizer) | Optimizer | virtual |
| SaveParameters(hid_t file, const string &prefix) (defined in Optimizer) | Optimizer | virtual |
| start_optimization_after_ (defined in Optimizer) | Optimizer | protected |
| step_ (defined in Optimizer) | Optimizer | protected |
| weight_norm_constraint_ (defined in Optimizer) | Optimizer | protected |
| weight_norm_limit_ (defined in Optimizer) | Optimizer | protected |
| ~Optimizer() (defined in Optimizer) | Optimizer |
1.8.7
