Beispiel #1
0
        // i(t) = sigmoid(W(i)*x(t) + U(i)*h(t-1))             input gate
        // f(t) = sigmoid(W(f)*x(t) + U(f)*h(t-1))             forget gate
        // o(t) = sigmoid(W(o)*x(t) + U(o)*h(t-1))             output exposure gate
        // c tilde(t) = tanh(W(c)*x(t) + U(c)*h(t-1))          new memory cell
        // c(t) = f(t).*c tilde(t-1) + i(t).*c tilde(t)        final memory cell
        // h(t) = o(t).*tanh(c(t))
        public Tensor Step(Graph.Graph f, Tensor x, Tensor h)
        {
            // input gate
            var inputGate = f.Sigmoid(f.AddBias(f.Add(f.Multiply(x, _wix), f.Multiply(h, _wih)), _bi));
            // forget gate
            var forgetGate = f.Sigmoid(f.AddBias(f.Add(f.Multiply(x, _wfx), f.Multiply(h, _wfh)), _bf));
            var newInput   = f.Tanh(f.Multiply(x, _wcx));

            return(f.Add(f.ElementwiseMultiply(inputGate, newInput), f.ElementwiseMultiply(forgetGate, f.Tanh(h))));
        }
Beispiel #2
0
        // i(t) = sigmoid(W(i)*x(t) + U(i)*h(t-1))             input gate
        // f(t) = sigmoid(W(f)*x(t) + U(f)*h(t-1))             forget gate
        // o(t) = sigmoid(W(o)*x(t) + U(o)*h(t-1))             output exposure gate
        // c tilde(t) = tanh(W(c)*x(t) + U(c)*h(t-1))          new memory cell
        // c(t) = f(t).*c tilde(t-1) + i(t).*c tilde(t)        final memory cell
        // h(t) = o(t).*tanh(c(t))
        public Tensor Step(Graph.Graph f, Tensor x, Tensor c, Tensor h, out Tensor nc)
        {
            // input gate
            var inputGate = f.Sigmoid(f.AddBias(f.Add(f.Multiply(x, _wix), f.Multiply(h, _wih)), _bi));
            // forget gate
            var forgetGate = f.Sigmoid(f.AddBias(f.Add(f.Multiply(x, _wfx), f.Multiply(h, _wfh)), _bf));
            // output gate
            var outputGate = f.Sigmoid(f.AddBias(f.Add(f.Multiply(x, _wox), f.Multiply(h, _woh)), _bo));
            // new cell
            var newInfo = f.Tanh(f.AddBias(f.Add(f.Multiply(x, _wcx), f.Multiply(h, _wch)), _bc));
            // final cell
            var retainCell = f.ElementwiseMultiply(forgetGate, c);
            var writeCell  = f.ElementwiseMultiply(inputGate, newInfo);
            var finalCell  = f.Add(retainCell, writeCell);

            // hidden unit
            nc = finalCell;
            return(f.ElementwiseMultiply(outputGate, f.Tanh(finalCell)));
        }
Beispiel #3
0
 public Tensor Step(Graph.Graph f, Tensor x)
 {
     return(f.AddBias(f.Multiply(x, _wxh), _bh));
 }
Beispiel #4
0
 public Tensor Step(Graph.Graph f, Tensor x, Tensor h)
 {
     return(f.AddBias(f.Add(f.Multiply(x, _wxh), f.Multiply(h, _whh)), _bh));
 }