The course is a good introduction to applicable deep learning using Keras. Do not expect any mathematical derivations. These you would need to gather from other courses such as Deeplearning.ai. I enjoyed the quizzes. The capstone project could be made more challenging by exploiting different aspects of layers, benchmarking pre-trained networks, and training strategies.

For me, the course lived up to its name. It was not too theory-focused, and focused really on getting started with TensorFlow 2. The programming exercises, which use different well-known datasets, are designed just enough to not feel being spoon-fed. The peer-reviewed capstone project is also a great experience.

A clearly organized and presented course. The capstone project may be a bit challenging because you will need to recall what you learned and apply it to what you may already know or need to go research. It's worth the effort.

Decent overview of the TensorFlow API but does get a little boring after a while. Would be nice to have some discussion of how to design models using the lecture content.

Really good practical course on image analysis with TF. Make sure you know the basics ahead as the main concepts are not explained, just put into practice.

Nice course, the lecturers taught in a very intuitative way. However the Discussion forum is dead, no support from team

Very nicely designed hands on learning course, suggested for all machine learning and tensor flow starters

The programming examples are very helpful. Thank you...

Superb Introduction to Tensorflow