Encoder-Decoder Architecture: Advanced NLP Techniques
Learn powerful encoder-decoder architecture for sequence-to-sequence tasks in NLP, including implementation in TensorFlow.
Learn powerful encoder-decoder architecture for sequence-to-sequence tasks in NLP, including implementation in TensorFlow.
This advanced course provides a comprehensive overview of the encoder-decoder architecture, a powerful machine learning framework widely used for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You'll learn the key components of the encoder-decoder architecture and how to train and deploy these models. The course includes a hands-on lab where you'll implement a simple encoder-decoder architecture in TensorFlow from scratch for poetry generation. This practical experience will solidify your understanding of the concepts and prepare you for real-world applications in natural language processing.
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What you'll learn
Understand the key components of the encoder-decoder architecture
Learn how to train and generate text using encoder-decoder models
Implement an encoder-decoder model in Keras/TensorFlow
Apply encoder-decoder architecture to sequence-to-sequence tasks
Gain practical experience in poetry generation using deep learning
Understand the applications of encoder-decoder models in NLP
Skills you'll gain
This course includes:
28 Minutes PreRecorded video
1 assignments
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There is 1 module in this course
This course offers an in-depth exploration of the encoder-decoder architecture, a fundamental concept in advanced natural language processing. It covers the main components of this architecture and its applications in sequence-to-sequence tasks like machine translation, text summarization, and question answering. The curriculum includes both theoretical understanding and practical implementation. Learners will gain hands-on experience by implementing a simple encoder-decoder model in TensorFlow for poetry generation. This combination of theory and practice equips participants with the skills to apply encoder-decoder architectures to various NLP challenges in real-world scenarios.
Architettura encoder-decoder: panoramica
Module 1 · 48 Minutes to complete
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Instructor
Course Instructor, Technology and Product Planning
Jasmine McNeil is a seasoned manager and course instructor affiliated with Johns Hopkins University, where she leads the Technology and Product Planning course on Coursera. With dual master’s degrees in Business Administration and Management, she specializes in product strategy, agile project management, and human-centered design. Her teaching focuses on guiding learners through the end-to-end process of building digital health products—from ideation and research to deployment—by integrating healthcare technology, stakeholder management, and design thinking. Through insights from industry leaders and real-world case studies, she helps professionals understand how to bring innovative health technology solutions from concept to implementation.
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