Recurrent Neural Network
A Recurrent Neural Network (RNN) is a neural network architecture designed for sequential data, where connections loop back so that the network's hidden state at each time step depends on both the current input and the previous hidden state.
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Glossary Terms(5)
Hidden Markov Model
A Hidden Markov Model (HMM) is a statistical model of a system that transitions between unobserved (hidden) states over time, where each hidden state produces…
Convolutional Neural Network
A Convolutional Neural Network (CNN) is a deep learning architecture that uses learnable convolutional filters to automatically extract spatial features from g…
Recurrent Neural Network
A Recurrent Neural Network (RNN) is a neural network architecture designed for sequential data, where connections loop back so that the network's hidden state…
Long Short-Term Memory (LSTM)
Long Short-Term Memory (LSTM) is a type of recurrent neural network architecture that uses a gated memory cell to selectively retain, forget, and output inform…
Gated Recurrent Unit (GRU)
A Gated Recurrent Unit (GRU) is a simplified variant of the LSTM recurrent neural network architecture that uses fewer gates and merges the cell and hidden sta…