Categorical variables are variables that can take on one of a limited number of values. These variables are commonly found…
Numerous tasks in natural language processing (NLP) depend heavily on an attention mechanism. When the data is being processed, they…
Long Short-Term Memory (LSTM) is a powerful natural language processing (NLP) technique. This powerful algorithm can learn and understand sequential…
Convolutional Neural Networks (CNN) are a type of deep learning model that is particularly well-suited for tasks that involve working…
Best RNN For NLP: Elman RNNs, Long short-term memory (LSTM) networks, Gated recurrent units (GRUs), Bi-directional RNNs and Transformer networks…
Encoder, decoder and encoder-decoder transformers are a type of neural network currently at the bleeding edge in NLP. This article…
What is a Hidden Markov Model in NLP? A time series of observations, such as a Hidden Markov Model (HMM),…
What is deep learning for natural language processing? Deep learning is a part of machine learning based on how the…
Neural machine translation (NMT) is a state-of-the-art technique for translation. Our previous article on translating text in Python covered the…
Transfer learning is explained, and the advantages and disadvantages are summed up. Types of transfer learning in NLP are summed…