Briefly describe the architecture of a Recurrent Neural Network (RNN) and how it addresses the shortcomings of traditional Neural Networks.
The Recurrent Neural Network (RNN) is designed to work with data that naturally exists as part of a sequence
The Recurrent Neural Network (RNN) is designed to work with data that naturally exists as part of a sequence
A standard ANN model consists of an input layer, an output layer, and hidden layers
The Multi-Layer Perceptron (MLP) is an ‘Artificial Neural Network’ (ANN) having one or more hidden layers