Category Archives: Uncategorized

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

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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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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

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Jokebot redux

Jokebot has finished training. It still has some serious issues. Perhaps the issues are even more serious. DISCLAIMER: The “jokes” the network produces do not represent my views or sense of humor. The data was scraped from reddit and it shows. … Continue reading

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Jeopardy!

While I’ve been working out some issues I’ve been having with torch, I did some training on a database of all Jeopardy questions. Unfortunately, training was cut short by said torch problems, so I’ll have to resume that tonight. Here’s … Continue reading

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Machine Learning vs. Human Learning

I’ve been a bit busy to run any experiments, unfortunately, but I’ve still been thinking about this quite a bit. Since I haven’t posted in about a month, I figured I’d share one of my motivations for getting into machine … Continue reading

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Parameter Experimentation (initialization and merging styles)

While I wait to get my hands on Deepmind’s wavenet, I’ve been experimenting some with the parameters of neural-style. Here, I have two images that use the same style and content image, however in the first one, the result is … Continue reading

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Hallucinating words

After a few failed experiments (namely, trying to train char-rnn on the grant award database to discover that the file has been corrupted with non-unicode characters which caused loss to explode and training on the list is kernel source, which … Continue reading

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