Artificial Intelligence, Recurrent Neural Network, Deep Learning, Machine Learning.
with its own collection of weights and biases. For weight and bias 1 respectively, let’s say this weight and bias be w1 and b1. Similarly, for the third layer we will have w2, b2, and w3, b3. These layers are also separate from each other, meaning the previous output is not memorized. Yet assume a