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…
Encoder, decoder and encoder-decoder transformers are a type of neural network currently at the bleeding edge in NLP. This article…
What is deep learning for natural language processing? Deep learning is a part of machine learning based on how the…