What is the Elman neural network? Elman Neural Network is a recurrent neural network (RNN) designed to capture and...
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Gated Recurrent Unit Explained & How They Compare [LSTM, RNN, CNN]
What is a Gated Recurrent Unit? A Gated Recurrent Unit (GRU) is a Recurrent Neural Network (RNN) architecture type. It...
How To Implement Different Question-Answering Systems In NLP
Question answering (QA) is a field of natural language processing (NLP) and artificial intelligence (AI) that aims to...
Different Attention Mechanism In NLP Made Easy
Numerous tasks in natural language processing (NLP) depend heavily on an attention mechanism. When the data is being...
Why And How To Use LSTM In NLP Tasks
With a text classification example using Keras Long Short-Term Memory (LSTM) is a powerful natural language processing...
Advanced NLP Made Easy – How To Get Started With RNN
Elman RNNs, Long short-term memory (LSTM) networks, Gated recurrent units (GRUs), Bi-directional RNNs and Transformer...
Encoder Decoder Neural Network Simplified — When To Use Them
Encoder, decoder and encoder-decoder transformers are a type of neural network currently at the bleeding edge in NLP....
Most Popular Deep Learning For Natural Language Processing
What is deep learning for natural language processing? Deep learning is a part of machine learning based on how the...
Reinforcement Learning And Its Application In NLP
This article covers reinforcement learning and its application in natural language processing (NLP). It also covered...