Offered By: IBMSkillsNetwork
Reinforcement Learning and Deep Learning Essentials
Reinforcement Learning and Deep Learning are more advanced techniques and areas of Machine Learning. These techniques, centred around multi-layer neural networks, are important drivers behind the evolution of Artificial Intelligence (AI). In just a couple of hours, this course will provide a quick introduction to both Reinforcement Learning and Deep Learning and will even get you to apply these techniques in a hands-on exercise.
Continue readingML0105EN
Course
Machine Learning
403 EnrolledAt a Glance
Reinforcement Learning and Deep Learning are more advanced techniques and areas of Machine Learning. These techniques, centred around multi-layer neural networks, are important drivers behind the evolution of Artificial Intelligence (AI). In just a couple of hours, this course will provide a quick introduction to both Reinforcement Learning and Deep Learning and will even get you to apply these techniques in a hands-on exercise.
Course Syllabus
- Reinforcement Learning
- Introduction to Deep Learning
- Key Concepts in Neural Networks and Training
- Deep Learning Frameworks in Python
- Hands-on Lab: Deep Learning in Python
Recommended Skills Prior to Taking this Course
- Basic knowledge of Python programming language.
Estimated Effort
2 Hours
Level
Beginner
Skills You Will Learn
Data Science, Deep Learning, PyTorch, Keras, Machine Learning, Artificial Intelligence
Language
English
Instructors
Vicky Kuo
Data Scientist
A data enthusiast relentlessly challenging the status quo.
Read moreAije Egwaikhide
Data Scientist at Meta (Facebook)
Senior Data Scientist, Applied Statistician, Machine Learning, and Educator.
Read moreYasmine Hemmati
Skills Network data scientist Intern
Math, Statistics and Computer Science Student at the University of Toronto
Read more