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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