Deep learning has yielded some fantastic results for basic natural language processing (NLP) functions such as named entity recognition (NER), document classification and sentiment analysis ...

Cho et al. 2014 Breakthrough deep learning paper on machine translation. Introduces basic sequence to sequence model which includes two rnns, an encoder for input and a decoder for output. Neural ...

This library is an ongoing effort to provide a high-level access to such models by building on top of PyTorch. Here is what you can expect to visualize from a trained model. Note: This model is a ...

A basic neural network probably has one or two hidden layers, while a deep learning network might have dozens, or even hundreds, of these layers. You may like What are foundation models?

For a review of recent deep-learning-based models and methods for NLP, I can recommend this article by an AI educator who calls himself Elvis. Natural language processing services ...

In recent years, deep learning has transformed Natural Language Processing (NLP), search retrieval, and ranking by enabling more precise, context-aware, and efficient systems. Rama Krishna, an ...

What is the difference between AI, Machine Learning, NLP, and Deep Learning? This question was originally answered on Quora by Dmitriy Genzel.

Getting natural language processing (NLP) models into production is a lot like buying a car. In both cases, you set your parameters for your desired outcome, test several approaches, likely retest ...