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…
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…
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…