nns

package

v0.0.0-...-650b285 Latest Latest Go to latest Published: Aug 13, 2020 License: MIT Imports: 5 Imported by: 0

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Repository

github.com/anandkc812/golang-cnn

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Documentation ¶

Index ¶

Constants
func ActivationLReLU(x float64) float64
func ActivationReLU(x float64) float64
func ActivationSigmoid(x float64) float64
func ActivationTanh(x float64) float64
func Backprop(curr_layer, next_layer denseLayer)
func CheckAccuracy(actual, estimate *mat64.Dense) (int, int)
func DActivationLReLU(x float64) float64
func DActivationReLU(x float64) float64
func DActivationSigmoid(x float64) float64
func DActivationTanh(x float64) float64
func Forward(input *mat64.Dense, dlayer denseLayer)
func GetActivation(dlayer *denseLayer) string
func GetOutput(curr_layer denseLayer) *mat64.Dense
func LinkLayers(curr_layer, next_layer *denseLayer)
func LogMlpLayer(dlayer *denseLayer)
func MaxIndex(x_mat64 *mat64.Dense) (int, int)
func Mse(actual, estimate *mat64.Dense) float64
func NewDenseLayer(layername, actv string, NumInputs int, NumOutputs int, weights []float64, ...) denseLayer
func OutputDeltaCalc(groundtruth_values *mat64.Dense, curr_layer denseLayer)
func SetActivation(dlayer *denseLayer, actv string)
func SetInput(input *mat64.Dense, dlayer *denseLayer) (int, int)
func Update(curr_layer denseLayer, lr float64)

Constants ¶

View Source

const Debug = 0

Variables ¶

This section is empty.

Functions ¶

func ActivationLReLU ¶

func ActivationLReLU(x float64) float64

func ActivationReLU ¶

func ActivationReLU(x float64) float64

func ActivationSigmoid ¶

func ActivationSigmoid(x float64) float64

func ActivationTanh ¶

func ActivationTanh(x float64) float64

- Activation for Tanh

func Backprop ¶

func Backprop(curr_layer, next_layer denseLayer)

func CheckAccuracy ¶

func CheckAccuracy(actual, estimate *mat64.Dense) (int, int)

func DActivationLReLU ¶

func DActivationLReLU(x float64) float64

ActivationSygmoidDerivative is derivative of sigmoid

func DActivationReLU ¶

func DActivationReLU(x float64) float64

ActivationSygmoidDerivative is derivative of sigmoid

func DActivationSigmoid ¶

func DActivationSigmoid(x float64) float64

ActivationSigmoidDerivative is derivative of sigmoid

func DActivationTanh ¶

func DActivationTanh(x float64) float64

Tanh Derivative function

func Forward ¶

func Forward(input *mat64.Dense, dlayer denseLayer)

func GetActivation ¶

func GetActivation(dlayer *denseLayer) string

func GetOutput ¶

func GetOutput(curr_layer denseLayer) *mat64.Dense

func LinkLayers ¶

func LinkLayers(curr_layer, next_layer *denseLayer)

func LogMlpLayer ¶

func LogMlpLayer(dlayer *denseLayer)

func MaxIndex ¶

func MaxIndex(x_mat64 *mat64.Dense) (int, int)

func Mse ¶

func Mse(actual, estimate *mat64.Dense) float64

func NewDenseLayer ¶

func NewDenseLayer(layername, actv string, NumInputs int, NumOutputs int, weights []float64, biases []float64) denseLayer

func OutputDeltaCalc ¶

func OutputDeltaCalc(groundtruth_values *mat64.Dense, curr_layer denseLayer)

Calculate Delta of the last /output layer

func SetActivation ¶

func SetActivation(dlayer *denseLayer, actv string)

func SetInput ¶

func SetInput(input *mat64.Dense, dlayer *denseLayer) (int, int)

func Update ¶

func Update(curr_layer denseLayer, lr float64)

Types ¶

This section is empty.

Source Files ¶

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