Neural Networks

Top 6 Most Useful Attention Mechanism In NLP Explained And When To Use Them

Numerous tasks in natural language processing (NLP) depend heavily on an attention mechanism. When the data is being processed, they…

3 years ago

How To Use LSTM In NLP Tasks With A Text Classification Example Using Keras

Long Short-Term Memory (LSTM) is a powerful natural language processing (NLP) technique. This powerful algorithm can learn and understand sequential…

3 years ago

CNN In NLP: Top 5 Types & How To Tutorial For Text Classification With TensorFlow

Convolutional Neural Networks (CNN) are a type of deep learning model that is particularly well-suited for tasks that involve working…

3 years ago

Top 5 Best RNN In NLP Simplified & How To Tutorial In Python With Keras

Best RNN For NLP: Elman RNNs, Long short-term memory (LSTM) networks, Gated recurrent units (GRUs), Bi-directional RNNs and Transformer networks…

3 years ago

Encoder Decoder Neural Network Simplified, Explained & State Of The Art

Encoder, decoder and encoder-decoder transformers are a type of neural network currently at the bleeding edge in NLP. This article…

3 years ago

What Is Neural Machine Translation? & 4 Easy Python Tools

Neural machine translation (NMT) is a state-of-the-art technique for translation. Our previous article on translating text in Python covered the…

3 years ago