Machine Learning, Deep Learning, Recurrent Neural Network, Text Generation, Neural Networks.
word. Input: x(t)​ is taken as the input to the network at time step t. For example, x1,could be a one-hot vector corresponding to a word of a sentence. Hidden state: h(t)​ represents a hidden state at time t and acts as “memory” of the network. h(t)​ is calculated based on the current input and