helpful-resources

Helpful links below:

Kaggle:
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https://www.kaggle.com/murats/word2vec-application-on-turkish-newspaper/execution
https://www.kaggle.com/guichristmann/lstm-classification-model-with-word2vec#Loading,-cleaning-and-formatting-data

Medium
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https://medium.com/@azercelikten/rnn-recurrent-neural-network-nedir-ve-nas%C4%B1l-%C3%A7al%C4%B1%C5%9F%C4%B1r-d1246b1a61fb
https://medium.com/deep-learning-turkiye/rnn-nedir-nas%C4%B1l-%C3%A7al%C4%B1%C5%9F%C4%B1r-9e5d572689e1

Youtube
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https://www.youtube.com/watch?v=LfnrRPFhkuY&ab_channel=codebasics

Blogs
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https://explosion.ai/blog/deep-learning-formula-nlp
https://stackoverflow.com/questions/42064690/using-pre-trained-word2vec-with-lstm-for-word-generation
https://blog.floydhub.com/long-short-term-memory-from-zero-to-hero-with-pytorch/
https://towardsdatascience.com/text-summarization-from-scratch-using-encoder-decoder-network-with-attention-in-keras-5fa80d12710e
https://medium.com/@tuncerergin/keras-ile-derin-ogrenme-modeli-olusturma-4b4ffdc35323

https://medium.com/analytics-vidhya/seq2seq-abstractive-summarization-using-lstm-and-attention-mechanism-code-da2e9c439711
https://github.com/aravindpai/How-to-build-own-text-summarizer-using-deep-learning/blob/master/How_to_build_own_text_summarizer_using_deep_learning.ipynb

Git
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https://github.com/singularity014/Keyword-Extraction-Bidirectional-LSTM
https://github.com/basaldella/deepkeyphraseextraction
https://gist.github.com/maxim5/c35ef2238ae708ccb0e55624e9e0252b
https://github.com/aravindpai/How-to-build-own-text-summarizer-using-deep-learning/blob/master/How_to_build_own_text_summarizer_using_deep_learning.ipynb

Articles
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