Course
Language Models in Python: Generative Text
Learn how to generate and translate text using deep learning.
This course includes
This course includes
Skill level
IntermediateTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary1 hourPrerequisites
1 courseWe suggest you complete the following courses before you get started with Language Models in Python: Generative Text:- Intro to Language Models in Python
About this course
From autocomplete to ChatGPT, computer and AI systems have to generate text all the time. In this course, you will learn how to generate and translate text using seq2seq deep learning, in the form of long short-term memory networks and recurrent neural networks.
Skills you'll gain
Generate text with deep learning
Translate text with deep learning
Create neural models in TensorFlow
Syllabus
Text Generation
Learn about seq2seq and LSTM neural networks commonly used in NLP work and how to implement them with TensorFlow for machine translation.
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Related resources
- Article
What Is Deep Learning?
A quick overview of deep learning and its applications - Article
Long Short Term Memory Networks
Long short-term memory networks (LSTMs) are often used in deep learning programs for natural language processing. - Article
Common Applications of Deep Learning
This article reviews some of deep learning's common applications.
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Guided projects that help you solidify the skills and concepts you're learning.Assessments
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