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Natural Language Processing in TensorFlow
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Natural Language Processing in TensorFlow

This course is part of DeepLearning.AI TensorFlow Developer Certificate.

Course Cost

Free course

Intermediate

Skill Level

21 Hours

Self-paced Video lessons

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

1,47,510 Enrolled

English

4.6

1,47,510 Enrolled

English

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

TensorFlow
Natural Language Processing
Text Vectorization
RNNs
LSTMs
Word Embeddings
Sequence Models
Neural Networks

This course includes:

1.5 Hours PreRecorded video

8 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Certificate
Certificate

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Share your certificate with prospective employers and your professional network on LinkedIn.

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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: DeepLearning.AI TensorFlow Developer Certificate

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Natural Language Processing in TensorFlow

Intermediate

Skill Level

21 Hours

Self-paced Video lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.