Documentation
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Index ¶
- func EncodeDashboardData(w http.ResponseWriter, r *http.Request)
- func HandleWebSocketConnection(w http.ResponseWriter, r *http.Request)
- func StartServer(neuralNetworkInstances map[string]network.Network, serverPort string)
- func TrainNeuralNetwork(w http.ResponseWriter, r *http.Request)
- type DashboardData
- type NetworkLayersData
- type TrainingInfoData
Constants ¶
This section is empty.
Variables ¶
This section is empty.
Functions ¶
func EncodeDashboardData ¶
func EncodeDashboardData(w http.ResponseWriter, r *http.Request)
GetDashboardData -> EncodeDashboardData EncodeDashboardData encodes the json for the dashboard data
func HandleWebSocketConnection ¶
func HandleWebSocketConnection(w http.ResponseWriter, r *http.Request)
SocketHandle -> HandleWebSocketConnection HandleWebSocketConnection manages the entry connections and replies with the neural network
func StartServer ¶
Serve -> StartServer StartServer initializes the server with the given neural networks and port
func TrainNeuralNetwork ¶
func TrainNeuralNetwork(w http.ResponseWriter, r *http.Request)
Train -> TrainNeuralNetwork TrainNeuralNetwork is the route to re-train the neural network
Types ¶
type DashboardData ¶
type DashboardData struct {
NetworkLayers NetworkLayersData `json:"layers"` // Layers -> NetworkLayers
TrainingInfo TrainingInfoData `json:"training"` // Training -> TrainingInfo
}
Dashboard -> DashboardData DashboardData contains the data sent for the dashboard
type NetworkLayersData ¶
type NetworkLayersData struct {
InputCount int `json:"input"` // InputNodes -> InputCount
HiddenCount int `json:"hidden"` // HiddenLayers -> HiddenCount
OutputCount int `json:"output"` // OutputNodes -> OutputCount
}
Layers -> NetworkLayersData NetworkLayersData contains the data of the network's layers
func GetNetworkLayers ¶
func GetNetworkLayers(locale string) NetworkLayersData
GetLayers -> GetNetworkLayers GetNetworkLayers returns the number of input, hidden and output layers of the network
type TrainingInfoData ¶
type TrainingInfoData struct {
LearningRate float64 `json:"rate"` // Rate -> LearningRate
ErrorMetrics []float64 `json:"errors"` // Errors -> ErrorMetrics
TrainingTime float64 `json:"time"` // Time -> TrainingTime
}
Training -> TrainingInfoData TrainingInfoData contains the data related to the training of the network
func GetTrainingInfo ¶
func GetTrainingInfo(locale string) TrainingInfoData
GetTraining -> GetTrainingInfo GetTrainingInfo returns the learning rate, training date and error loss for the network
Source Files