April 2020
Intermediate to advanced
4h 20m
English
Closed Captioning available in English
Overview
In this 4 hr course, you'll work on several hands-on Machine Learning projects using TensorFlow 2.0, delving into major enhancements like Eager Execution. Learn to develop, train, and deploy diverse ML models while exploring advanced methods like Reinforcement and Transfer Learning.
What I will be able to do after this course
- Understand the new features of TensorFlow 2, including Eager Execution, for simplified approachability and development.
- Gain practical experience by building projects, such as an image classifier using Transfer Learning.
- Develop skills to debug and optimize ML models using tools like TensorBoard.
- Be introduced to advanced ML paradigms such as Reinforcement Learning with OpenAI Gym environments.
- Strengthen knowledge of organizing and structuring TensorFlow projects for professional applications.
Course Instructor(s)
Dr. Vlad Sebastian Ionescu is an accomplished educator and practitioner in Machine Learning with years of experience utilizing TensorFlow in various applications. Dr. Ionescu has guided numerous learners in mastering complex concepts with clarity and enthusiasm. His teaching approach emphasizes practical problem-solving and real-world applications.
Who is it for?
This course is designed for developers and data scientists looking to enhance their Machine Learning skills by building practical projects. Ideal for individuals with foundational knowledge of Machine Learning principles and Python programming who want hands-on experience in TensorFlow 2.0. Learners aiming to implement ML solutions professionally will greatly benefit.