Machine Learning, Deep Learning, Recurrent Neural Network, Text Generation, Neural Networks.
h(t). This we can clearly see from the below diagram that at time t, hidden state h(t) has gradient flowing from both current output and the next hidden state. Red arrow shows gradient flow We work our way backward, starting from the end of the sequence. At the ﬁnal time step τ, h(τ) only has o(τ)