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Forward Propagation Computation z : variable, accumulated sum from previous layers of x * w, before applied sigmoid(or whatever activation function) function z1=W1x1+W2x2=0.3×0.1+0.25×0.2=0.08z1=W1x1+W2x2=0.3×0.1+0.25×0.2=0.08 z2=W3x1+W4x2=0.4×0.1+0.35×0.2=0.11 Then, z1 and z2 shoulc through sigmoid(or whatever activation function) function in each hidden layer. h1=sigmoid(z1)=0.51998934h1=sigmo..

Forward Propagation Input layer-->hidden layer-->activation function-->output layer --------------------------------------------------------------> in order The input data is fed in the forward direction through the network. Each hidden layer accepts the input data, processes it as per the activation function and passes to the successive layer. In order to generate output, the input data should ..