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.
Learn more| Has discount |
![]() |
||
|---|---|---|---|
| Expiry period | Lifetime | ||
| Made in | English | ||
| Last updated at | Tue Jul 2024 | ||
| Level |
|
||
| Total lectures | 22 | ||
| Total quizzes | 0 | ||
| Total duration | 27:33:29 Hours | ||
| Total enrolment |
39 |
||
| Number of reviews | 7 | ||
| Avg rating |
|
||
| 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. | ||
| Outcomes |
|
||
| Requirements |
|