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Give frame work to add additional activation functions #45

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Merged
merged 4 commits into from
Feb 10, 2018
Merged

Give frame work to add additional activation functions #45

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b59d427
Give frame work to add additional activation functions
schrummy14 Feb 9, 2018
c081d38
Merge branch 'master' into patch-1
shiffman Feb 9, 2018
300b427
Merge branch 'master' into patch-1
schrummy14 Feb 10, 2018
87f12e7
Merge branch 'master' into patch-1
shiffman Feb 10, 2018
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24 changes: 18 additions & 6 deletions lib/nn.js
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Original file line number Diff line number Diff line change
Expand Up @@ -26,6 +26,10 @@ class NeuralNetwork {
this.bias_h.randomize();
this.bias_o.randomize();
this.setLearningRate();

this.setActivationFunction();
this.setDActivationFunction();

}

predict(input_array) {
Expand All @@ -35,12 +39,12 @@ class NeuralNetwork {
let hidden = Matrix.multiply(this.weights_ih, inputs);
hidden.add(this.bias_h);
// activation function!
hidden.map(sigmoid);
hidden.map(this.activation_function);

// Generating the output's output!
let output = Matrix.multiply(this.weights_ho, hidden);
output.add(this.bias_o);
output.map(sigmoid);
output.map(this.activation_function);

// Sending back to the caller!
return output.toArray();
Expand All @@ -49,19 +53,27 @@ class NeuralNetwork {
setLearningRate(learning_rate = 0.1) {
this.learning_rate = learning_rate;
}

setActivationFunction(Fun = sigmoid) {
this.activation_function = Fun;
}

setDActivationFunction(dFun = dsigmoid) {
this.d_activation_function = dFun;
}

train(input_array, target_array) {
// Generating the Hidden Outputs
let inputs = Matrix.fromArray(input_array);
let hidden = Matrix.multiply(this.weights_ih, inputs);
hidden.add(this.bias_h);
// activation function!
hidden.map(sigmoid);
hidden.map(this.activation_function);

// Generating the output's output!
let outputs = Matrix.multiply(this.weights_ho, hidden);
outputs.add(this.bias_o);
outputs.map(sigmoid);
outputs.map(this.activation_function);

// Convert array to matrix object
let targets = Matrix.fromArray(target_array);
Expand All @@ -72,7 +84,7 @@ class NeuralNetwork {

// let gradient = outputs * (1 - outputs);
// Calculate gradient
let gradients = Matrix.map(outputs, dsigmoid);
let gradients = Matrix.map(outputs, this.d_activation_function);
gradients.multiply(output_errors);
gradients.multiply(this.learning_rate);

Expand All @@ -91,7 +103,7 @@ class NeuralNetwork {
let hidden_errors = Matrix.multiply(who_t, output_errors);

// Calculate hidden gradient
let hidden_gradient = Matrix.map(hidden, dsigmoid);
let hidden_gradient = Matrix.map(hidden, this.d_activation_function);
hidden_gradient.multiply(hidden_errors);
hidden_gradient.multiply(this.learning_rate);

Expand Down