Step-by-Step Explanation of RNN for Time Series Forecasting – part 6 – day 60
Step-by-Step Explanation of RNN for Time Series Forecasting Step 1: Simple RNN for Univariate Time Series Forecasting Explanation: An RNN processes sequences of data, where the output at any time step depends on both the current input and the hidden state (which stores information about previous inputs). In this case, we use a Simple RNN with only one recurrent neuron. TensorFlow Code: Numerical Example: Let’s say we have a sequence of three time steps: . 1. Input and Hidden State Initialization: The RNN starts with an initial hidden state , typically initialized to 0. Each step processes the input and...
