Self-attention is the reason transformers are so successful at many NLP tasks. Learn how they work, the different types, and…
Text normalization is a key step in natural language processing (NLP). It involves cleaning and preprocessing text data to make…
What is Part-of-speech (POS) tagging? Part-of-speech (POS) tagging is fundamental in natural language processing (NLP) and can be done in…
Transformers Implementations in TensorFlow, PyTorch, Hugging Face and OpenAI's GPT-3 What are transformers in natural language processing? Natural language processing…
What is a Siamese network? It is also commonly known as one or few-shot learning. They are popular because less…
Introduction to document clustering and its importance Grouping similar documents together in Python based on their content is called document…
What is local sensitive hashing? A technique for performing a rough nearest neighbour search in high-dimensional spaces is called local…
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…