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Character level RNN, with gradient clipping, that was trained with over 7900 Names.

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Name Generation with RNN

Character level Reccurent Neural Network trained with Nepali names. In order to account for the exploding gradient problem, the model was implemented with Gradient Clipping.

Loss of the RNN Model :

Loss

Names at Iteration 0 :

Screen Shot 2020-04-23 at 4 23 24 PM

Names at Iteration 316000 :

Screen Shot 2020-04-23 at 4 23 09 PM

Character level RNN architecture :

sample

Sources :

techgaun/nepali-names

Character-level Recurrent Neural Networks in Practice: Comparing Training and Sampling Schemes

The Unreasonable Effectiveness of Recurrent Neural Networks

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Character level RNN, with gradient clipping, that was trained with over 7900 Names.

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