Coursera Introduction to Machine Learning 2024 04 recurrent neural networks for natural language processing 02 representative example nlp problem sentiment analysis 03 methods for learning model parameters en txt

Coursera Introduction to Machine Learning 2024
04 recurrent neural networks for natural language processing 02 representative example nlp problem sentiment analysis 03 methods for learning model parameters en txt

Name	Coursera - Introduction to Machine Learning 2024-3	DOWNLOAD Copy Link Trouble downloading? see How To
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/04_recurrent-neural-networks-for-natural-language-processing/02_representative-example-nlp-problem-sentiment-analysis/03_methods-for-learning-model-parameters.en.srt	12.7 KB
/04_recurrent-neural-networks-for-natural-language-processing/02_representative-example-nlp-problem-sentiment-analysis/03_methods-for-learning-model-parameters.mp4	18.9 MB
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/04_recurrent-neural-networks-for-natural-language-processing/02_representative-example-nlp-problem-sentiment-analysis/05_lesson-2_quiz.html	4.5 KB
/04_recurrent-neural-networks-for-natural-language-processing/02_representative-example-nlp-problem-sentiment-analysis/01_neural-model-of-text_4.2.1_Neural_model_of_text.pdf	2.6 MB
/04_recurrent-neural-networks-for-natural-language-processing/04_alternative-approaches/01_simple-and-effective-alternative-methods-for-neural-nlp.en.txt	11.4 KB
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