When does it occur? How can you recognise it? And how to adapt your network to avoid the vanishing gradient…
What is the Elman neural network? Elman Neural Network is a recurrent neural network (RNN) designed to capture and store…
Self-attention is the reason transformers are so successful at many NLP tasks. Learn how they work, the different types, and…
What is a Gated Recurrent Unit? A Gated Recurrent Unit (GRU) is a Recurrent Neural Network (RNN) architecture type. It…
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 question-answering System? Question answering (QA) is a field of natural language processing (NLP) and artificial intelligence (AI)…
What is the curse of variability? The curse of variability refers to the idea that as the variability of a…
What is a Siamese network? It is also commonly known as one or few-shot learning. They are popular because less…