Deep learning: A Natural Language Processing Bootcamp
About this course
Master Natural Language Processing with TensorFlow – From Basics to Building Real ProjectsUnlock the power of Natural Language Processing (NLP) using TensorFlow in this hands-on, beginner-friendly course. Whether you're just curious about NLP or looking to build real-world applications, this course is designed to guide you step-by-step through both theory and implementation.What You’ll Learn:Tokenization – Break down text into meaningful components (Part 1)Word Embeddings – Learn how to represent words as vectors (Part 2)This course emphasizes hands-on learning. You’ll implement every concept as you go—because real understanding comes from building, not just watching.And for those who love the "why" behind the "how", we dive deep into the theory too. You'll explore state-of-the-art NLP techniques, including tokenization, embeddings, RNNs, and more—with clear explanations and practical examples.Who This Course Is For:Curious learners ready to explore NLPAspiring developers who want to build text-based applicationsAnyone eager to understand and implement NLP with TensorFlowPrerequisites:Basic arithmetic skillsA solid foundation in Python programmingFamiliarity with basic TensorFlow operations“If you can’t implement it, you don’t understand it.”Join me in this exciting journey through NLP, where you’ll not only learn the concepts but also create real-world solutions with them.
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What you'll learn
- perform tokenization of raw text data
- create word embedding vectors using TensorFlow
- design and train recurrent neural networks for NLP tasks
- implement end‑to‑end NLP pipelines in Python
- build and evaluate real‑world text‑based applications
Course objectives
- understand the theory behind tokenization and word embeddings
- apply TensorFlow operations to build NLP models
- gain practical experience by coding each concept
- connect theoretical concepts to functional projects
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