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Learn Recurrent Neural Networks Hands-On

IntermediateCourse

In the real world, data often comes in sequences: text, speech, time-series data, and more. RNNs are the key to understanding and working with these sequential data types. By taking this course, you'll gain the essential knowledge and skills to handle and model sequences effectively. You will discover how RNNs revolutionize natural language processing, time series analysis, and more.

4.5 (77 Reviews)

Language

  • English

Topic

  • Artificial Intelligence

Enrollment Count

  • 410

Skills You Will Learn

  • Artificial Intelligence, Deep Learning, Keras

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 3 hours

Platform

  • SkillsNetwork

Last Update

  • April 29, 2025
About this Course
This course is captivating for anyone interested in artificial intelligence, data science, or machine learning. If you've ever been fascinated by machines that can understand and generate human language, RNNs are at the core of these language models. This course will empower you to work on NLP tasks like sentiment analysis, chatbots, and machine translation. Time series data is everywhere, from financial markets to climate patterns. RNNs excel at modeling and forecasting time-dependent data. By taking this course, you'll be equipped to tackle real-world problems in fields like finance or weather forecasting and much more

Enroll and don't miss the chance to be at the forefront of AI innovation.

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Course Syllabus

Topics that will be cover in the course
  • Types of Sequential Data
  • Recurrent Neural Networks
  • Long Short-Term Memory
  • Word Embeddings 

Recommended Skills Prior to Taking this Course

A good understanding of Keras, Linear Regression and Classification and Neural Networks Principles in addition to Python programming language.

Instructors

Artem Arutyunov

Data Scientist

Hey, Artem here! I am excited about answering new challenges with data science, machine learning and especially Reinforcement Learning. Love helping people to learn, and learn myself. Studying Math and Stats at University of Toronto, hit me up if you are from there as well.

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Kopal Garg

Data Scientist Intern at IBM

I am a Data Scientist Intern at IBM, and a Masters student in Computer Science at the University of Toronto. I am passionate about building data science, and machine learning-based systems for improving various aspects of life.

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Joseph Santarcangelo

Senior Data Scientist at IBM

Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.

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Contributors

Roodra Kanwar

Data Scientist at IBM

I am a data scientist by day, superhero by night. Psych! I wish I was that cool. Only the former part is true which is still pretty cool! I believe in constant learning and it is an essential part of being a productive data enthusiast. I am also pursuing my masters in computer science from Simon Fraser University specializing in Big Data. Moreover, knowledge is transfer learning (pun intended!) and what I have gained, I plan on reflecting it back to the data community.

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