The final instalment on optimizing word2vec in Python: how to make use of multicore machines. You may want to read Part One and Part Two first.
Deep learning with word2vec and gensim
Neural networks have been a bit of a punching bag historically: neither particularly fast, nor robust or accurate, nor open to introspection by humans curious to gain insights from them. But things have been changing lately, with deep learning becoming a hot topic in academia with spectacular results. I decided to check out one deep learning algorithm via gensim.