The "Natural Language Processing and Deep Learning" course explores advanced techniques for analyzing and processing textual data using deep learning models. Participants will learn about cutting-edge architectures like transformers and RNNs, and how to apply these techniques to tasks such as text classification, sentiment analysis, and language generation. The course offers a blend of theoretical knowledge and practical, hands-on projects, equipping students with the skills to tackle real-world NLP challenges and build sophisticated language processing systems.
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Expiry period | Lifetime | ||
Made in | English | ||
Last updated at | Tue Jul 2024 | ||
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Total lectures | 22 | ||
Total quizzes | 0 | ||
Total duration | 27:33:29 Hours | ||
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Number of reviews | 7 | ||
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Short description | The "Natural Language Processing and Deep Learning" course explores advanced techniques for analyzing and processing textual data using deep learning models. Participants will learn about cutting-edge architectures like transformers and RNNs, and how to apply these techniques to tasks such as text classification, sentiment analysis, and language generation. The course offers a blend of theoretical knowledge and practical, hands-on projects, equipping students with the skills to tackle real-world NLP challenges and build sophisticated language processing systems. | ||
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