Recurrent Neural Network (RNN)
What are recurrent neural networks? A recurrent neural network (RNN) is a type of artificial neural network which uses sequential data or time series data. These deep learning algorithms are commonly used for ordinal or temporal problems, such as language translation, natural language processing (NLP), speech recognition, and machine translation; they are incorporated into popular applications such as Siri, voice search, and Google Translate. Like feedforward and convolutional neural networks (CNNs). Why Recurrent Neural Networks? RNN were created because there were a few issues in the feed-forward neural network: Cannot handle sequential data Considers only the current input Cannot memorize previous inputs The solution to these issues is the RNN. An RNN can handle sequential data, accepting the current input data, and previously received inputs. RNNs can memorize previous inputs due to their internal memory. LSTM (Variant of RNN) Starting at the beginning, let’s define our neural...