Janelle Shane trained a neural network on the names and attributes of My Little Ponies, then shared "some of the worst ones."
I used a program called a character-level recurrent neural network (char-rnn), which looks at examples of text (Pokemon, or Harry Potter fan fiction, or even guinea pig names) and learns to imitate them. I gave the neural network more than 1,500 names from My Little Pony Friendship is Magic Wiki, and let it start learning.
Quick, Draw! Is a site that helps train a neural network how to recognize doodles. To participate, you'll have to doodle different items in a short amount of time. The… READ THE REST
Janelle Shane is an AI researcher and the author of You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a… READ THE REST
AI Neural Networks typically aim to replicate the functions of the human brain. But with some 86 billion neurons in our brains, well, that makes for a pretty complicated machine.… READ THE REST
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