Monthly Archives: May 2017

Espresso is the marshmallow of coffee (fun with Word2Vec)

In exploring the recipe dataset, I decided to have some fun with Word2vec, an algorithm originally created by Google. For the layperson, this algorithm works by looking at the context in which a given word appears and learns vectors to … Continue reading

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Chicken soup (for the robot soul?)

So I did a little more training with the chef-rnn at a lower learning rate to fine-tune it a bit and got some shockingly good results, with some weird quirks. I really just couldn’t resist posting more recipes. These are … Continue reading

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CycleGAN and Chef-RNN update

There has been a development in image generation that I find absolutely fascinating. It’s based off Generative Adversarial Networks, which are a very powerful and promising model for image generation. A recent modification to this architecture, the Conditional GAN has been making some … Continue reading

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