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Author Archives: underwhelmingforce
Unexpected results in ML & project updates
There was a recent paper that caught my eye that I think is worth sharing with anyone interested in the themes of my blog: The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial … Continue reading
Posted in Uncategorized
Tagged Ai Weirdness, Aiweirdness, Botnik, Deep Dream, Deepdream, Reinforcement Learning
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Sentiment Translator
Introduction A very common problem in natural language processing is that of sentiment analysis, or rather, attempting to analytically determine if a given input has an overall positive or negative tone. For example, a positive string might be “I really enjoyed this movie!” whereas … Continue reading
Automated topic extraction with Latent Dirichlet Allocation
During last semester, I became aware of a really interesting NLP algorithm called LDA, short for “Latent Dirichlet Allocation.” The goal of the algorithm is to create a set of “topics” which represent a specific human-interpretable concept The core assumption … Continue reading
Posted in LDA
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Making art with neural style and fractals
I recently attempted to see if I could create art with Neural Style using only photos I’ve taken and fractal flames I’ve created with Fractorium and Apophysis. I must say, I’m very happy with the results! I generated the outputs … Continue reading
Posted in neural style
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Steam Games
While I work on my next big project, I decided to generate some random steam game names. All of these are games that don’t actually exist: Happy Panic Unraveled Land Mad Sharkness The Heart’s Medicine formic innocence Heroes Over Europe … Continue reading
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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
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
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
Double Jeopardy
Because I was gone for most of the weekend, (and because I didn’t want that awful jokebot being the first thing people see of this blog) I retrained the jeopardy network to some amusing results. Take a gander: THE SPORTING … Continue reading
Posted in Uncategorized
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