Learn With Jay on MSNOpinion

Word2Vec from scratch: Training word embeddings explained part 1

In this video, we will learn about training word embeddings. To train word embeddings, we need to solve a fake problem. This ...
GitHub

word2Vec and Glove implementation using numpy.

In word2vec and glove, we generate an embedding space for the words. The program outputs a vector.txt file which contains the embedding vectors. run_word2vec : runs the word2vec file run_glove : runs ...
GitHub

Turkish Pre-trained Word2Vec Model

This tutorial introduces how to train word2vec model for Turkish language from Wikipedia dump. This code is written in Python 3 by using gensim library. Turkish is an agglutinative language and there ...
IEEE

Design and Implementation of Work Order Acceptance System Based on Microservice Architecture

Abstract: Professional customer service to solve or circulate corresponding customer problems can not only solve customer problems quickly, improve the service image of the enterprise, but also lay a ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...