You shall know a word by the company it keeps. Train a tiny network to predict a word's neighbours — and the hidden layer it learns on the way becomes a map of meaning. Words used in similar contexts ...

Reproducing "Efficient Estimation of Word Representations in Vector Space" (Mikolov et al., 2013) in PyTorch — Skip-gram with Negative Sampling, trained on the text8 corpus — and documenting why every ...

IF someone wants to learn Word2Vec or word embeddings, the basic building blocks in NLP, this should be your go to video explained in simple terms. This may even take you back to neural networks and ...