Difference Between Recurrent Neural Networks (RNNs)) and Simple Neural Networks

Recurrent Neural Networks (RNNs) and Simple Neural Networks, also known as feedforward neural networks, differ fundamentally in their architectural design and functionality. A Simple Neural Network consists of input, hidden, and output layers, with data flowing linearly from the input layer through the hidden layers to the output layer. Each layer contains neurons, and connections … Read more