
Magnus Hyttsten
Engineering Manager at Google
Dive into deep learning with this practical course on TensorFlow and the Keras API. Gain an intuitive understanding of neural networks without the dense jargon. Learn to build, train, and optimize your own networks using TensorFlow. The course also introduces transfer learning, leveraging pre-trained models for enhanced performance. Designed for swift proficiency, this course prioritizes hands-on learning and real-world applications.

Intro to TensorFlow for Deep Learning
0 prerequisites
You will need to be able to communicate fluently and professionally in written and spoken English.
3 instructors
Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:

Magnus Hyttsten
Engineering Manager at Google

Juan Delgado
Computational Physicist

Paige Bailey
Developer Advocate, Google
the object detection project need to be updated !
Jun 2, 2026
It's a very intense and advance program is highly recommended for the professionals who want to build a career as a perception engineer. It contains all the aspects of self-driving car specialization: computer vision, sensor fusion, localization, planning and control. Additional chapters for career services and interview preparation will help you to start applying for the autonomous driving vacancies really fast after the graduation.
Oct 22, 2024
Exceptional program that equips you with the skills needed for the future of autonomous vehicles. Challenging projects, great instructors, and a supportive community make it a top choice for anyone passionate about self-driving technology
Sep 9, 2023
carla simulator failed all the time !!!! wait for several weeks, no way to solve it
Apr 10, 2023
This program provide the overall picture of Self Driving Car System. It allowed me to systematically learn the system.
Apr 4, 2023

Intro to TensorFlow for Deep Learning