4 docs tagged with "NLP"

This guide covers the Beam Search algorithm, a heuristic search technique commonly used in sequence generation tasks to find the most probable output sequence in machine learning.

This post delves into Long Short-Term Memory (LSTM), a type of recurrent neural network designed to overcome the vanishing gradient problem, enabling better learning of long-term dependencies in sequential data.

Recurrent Neural Networks (RNNs) are a type of neural network designed to recognize patterns in sequences of data, including time-series data, language processing, and other sequence-related tasks.

This post explores Recurrent Neural Networks (RNN), a class of neural networks designed to handle sequential data and time-series information, commonly used for tasks involving natural language processing, speech recognition, and more.