• Generate new Pokémon names using deep learning

• A guy holding a talk said he'd tried, but was unsatisfied

• Two-layer LSTM with 256 and 128 units
• Learn character transitions, B → u etc.
• Sample from posterior, feed back into network

How to use:

from pokemon.names import sample
sample(n=10)
sample(root='Guido')