Data Science, Artificial Intelligence, Deep Learning, Machine Learning, Neural Networks.
sequential order. In a feedforward neural network, we simply assume that inputs at different t are independent of each other. We denote the output of a hidden layer at a time step, t, as ht = f(xt ), where f is the abstract of the hidden layer. This is depicted in the following diagram: Figure 2: