Natural Language Processing in TensorFlow
Master NLP implementation in TensorFlow, from text processing to advanced sequence models for practical applications.
Master NLP implementation in TensorFlow, from text processing to advanced sequence models for practical applications.
This comprehensive course teaches practical Natural Language Processing using TensorFlow. Students learn to process and tokenize text, implement word embeddings, and build sophisticated sequence models including RNNs, GRUs, and LSTMs. The curriculum progresses from basic text processing to advanced applications like sentiment analysis and creative text generation, with hands-on projects using real-world datasets.
4.6
(6,498 ratings)
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Instructors:
English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Process and tokenize text for machine learning
Implement word embeddings and sentiment analysis
Build RNN and LSTM models for sequence tasks
Create text generation systems using neural networks
Develop practical NLP applications in TensorFlow
Skills you'll gain
This course includes:
1.5 Hours PreRecorded video
8 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This course provides comprehensive training in implementing NLP solutions using TensorFlow. The curriculum spans four modules: text sentiment analysis, word embeddings, sequence models, and creative text generation. Students progress from basic text processing to advanced applications, learning through practical implementations and real-world datasets. Each module combines theoretical understanding with hands-on coding exercises.
Sentiment in text Module 1
Module 1 · 5 Hours to complete
Word Embeddings Module 2
Module 2 · 5 Hours to complete
Sequence models Module 3
Module 3 · 6 Hours to complete
Sequence models and literature Module 4
Module 4 · 5 Hours to complete
Fee Structure
Instructor
Pioneering AI Educator and Best-Selling Author
Laurence Moroney is an award-winning artificial intelligence researcher and best-selling author dedicated to making AI and machine learning accessible to everyone. As an instructor at DeepLearning.AI, he has taught millions through MOOCs and YouTube, while also serving as a keynote speaker at various events. Moroney is a fellow of the AI Fund and advises several AI startups, leveraging his expertise to foster innovation in the field. Based in Seattle, Washington, he is also an active member of the Science Fiction Writers of America, having authored multiple sci-fi novels and comic books. When not immersed in technology, he enjoys indulging in coffee and exploring creative writing.
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4.6 course rating
6,498 ratings
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