John Snow Labs

MAY 23, 2023

Visual question answering (VQA), an area that intersects the fields of Deep Learning, Natural Language Processing (NLP) and Computer Vision (CV) is garnering a lot of interest in research circles. A VQA system takes free-form, text-based questions about an input image and presents answers in a natural language format.

Natural Language Processing 40

Natural Language Processing Deep Learning NLP Convolutional Neural Networks 40

Explosion

NOVEMBER 9, 2016

Over the last six months, a powerful new neural network playbook has come together for Natural Language Processing. A four-step strategy for deep learning with text Embedded word representations, also known as “word vectors”, are now one of the most widely used natural language processing technologies.

Deep Learning 52

Deep Learning NLP Convolutional Neural Networks Neural Network 52

Snorkel AI

MARCH 1, 2023

This process results in generalized models capable of a wide variety of tasks, such as image classification, natural language processing, and question-answering, with remarkable accuracy. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Radford et al.

BERT 83

BERT Natural Language Processing Large Language Models Neural Network 83

Lexalytics

APRIL 5, 2021

Going forward, it was clear that we would need to be supporting even more models across more languages, yet our code and training data were scattered across many cloud computing instances. The CNN was a 6-layer neural net with 132 convolution kernels and (don’t laugh!) And in 2012, Alex Krizhevsky, Ilya Sutskever and Geoffrey E.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

ML Review

JUNE 4, 2018

Recent Intersections Between Computer Vision and Natural Language Processing (Part Two) This is the second instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). 2016)[ 91 ] You et al.

Neural Network 52

Neural Network Convolutional Neural Networks Computer Vision Deep Learning 52

Viso.ai

MAY 1, 2024

Deep learning and Convolutional Neural Networks (CNNs) have enabled speech understanding and computer vision on our phones, cars, and homes. Natural Language Processing (NLP) and knowledge representation and reasoning have empowered the machines to perform meaningful web searches. Stone and R. Brooks et al.

Robotics 52

Robotics Convolutional Neural Networks Computer Vision Deep Learning 52

Explosion

NOVEMBER 21, 2019

In 2016 we trained a sense2vec model on the 2015 portion of the Reddit comments corpus, leading to a useful library and one of our most popular demos. from_disk("/path/to/s2v_reddit_2015_md") nlp.add_pipe(s2v) doc = nlp("A sentence about natural language processing.") That work is now due for an update. assert doc[3:6].text

NLP 52

NLP Convolutional Neural Networks Neural Network Natural Language Processing 52