Neural Networks, Gpt, Machine Learning, AI, ChatGPT.
hidden and output states, respectively. b is the bias vector. f() is the activation function, such as the sigmoid or hyperbolic tangent function, that introduces non-linearity to the network. The size of the hidden state in an RNN is a hyperparameter that is defined during the design of the model.