How to modify the output layer to only give the next character in sequence given the previous characters ?

sherjilozair / char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

MIT License

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How to modify the output layer to only give the next character in sequence given the previous characters ? #142

Closed jjsr closed 3 years ago

jjsr commented 3 years ago

I am new to NNs .I am able to understand the model is trained in a way that given input character sequence it can predict next character , Please guide me what model parameters i have to save while training or any pseudo algorithm to implement the same will help

victorr0 commented 3 years ago

Could you rephrase your question, because it is unclear / ambiguous. The char-rnn already does what you ask in the title of your question. Couldn't hurt to check out the README.md, Tuning-section may be helpful for model parameters.

jjsr commented 3 years ago

Thanks a lot victorr0 for writing back . Sorry for my bad phrasing . Yes I am able to figure that out later since i am quite new in the domain. Thanks for sharing this wonderful repo . that saves my life