Here's a word-level text generation example with LSTM, starting from raw text files, in less than 50 lines of Keras & TensorFlow.https://colab.research.google.com/drive/1B9yLXcJ7Q76EUoim-2Xy7Dk1gC1pFdU1 …
Show this thread
-
It uses a utility to read text files, a text vectorization layer (useful for any NLP), the LSTM layer and the functional API, the callbacks infrastructure, and the default training loop.
Show this thread
All of the problem-specific logic fits in 50 lines because language models are conceptually simple. A simple API means making conceptually simple things easy to implement
-
-
@threader_app please kindly compile it. -
Hey Behrooz, what's up? The thread is compiled, don't hesitate to share it. Have a good read:https://threader.app/thread/1346113418667823104 …
End of conversation
New conversation -
-
-
Hello, here is your unroll: Here's a word-level text generation example with LSTM, starting from raw text files, in less than 50 lines of Keras &… https://threadreaderapp.com/thread/1346113418667823104.html … Share this if you think it's interesting.
End of conversation
New conversation
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.