How can we implement LSTM in TensorFlow to analyze a sentence both forwards and backwards?
Saturday, 05 August 2023
by EITCA Academy
Long Short-Term Memory (LSTM) is a type of recurrent neural network (RNN) architecture that is widely used in natural language processing (NLP) tasks. LSTM networks are capable of capturing long-term dependencies in sequential data, making them suitable for analyzing sentences both forwards and backwards. In this answer, we will discuss how to implement an LSTM
- Published in Artificial Intelligence, EITC/AI/TFF TensorFlow Fundamentals, Natural Language Processing with TensorFlow, Long short-term memory for NLP, Examination review
Tagged under:
Artificial Intelligence, Bidirectional, LSTM, Natural Language Processing, Neural Network, TensorFlow