This course is great for begineer who wants to get hands on with tensorflow. But I feel that this course lacks a little bit of exploratory data analysis. Other than that great course

It's not easy to complete all weekly exam for a lot of kernel errors.

It is as a good starting point for TensorFlow, but is not newbie course in Machine Learning and Computer vision.

Prior knowledge of CNNs is required, instructor just walks through the modules, you shoild be prepared to learn stuff from the documentations on internet amd the sample modules.

Great course to start learning about Tensorflow. However, I consider some quizzez may not contain specific technical questions like the "size"of the fashion MNST dataset.

Boring explanations, coupled with sound constraints make learning less than optimal, sometimes there is some material that is not explained in detail

One needs to have prior understanding to grasp the information in this course. This course does not provide full information about all the topics.

After finishing the amazing Machine Learning course, this felt little underwhelming. Hopefully the next courses will be more in depth.

The examples almost show you how to complete every labs. It would help me more if you increase the difficulty in the exercises.

Too basic for someone with a maths and Machine Learning background. Probably better to upgrade to the Advanced classes offered.

Good beginner course on Tensorflow, but many errors in example codes and tests that do not seem to be fixed for years now.

This Course is only useful if and only if u have prior knowledge about neural networks, and if previously used Tensorflow

It was a well-formatted course for someone just starting out with tensorflow as their choice of deep-learning framework.

Very good course to start with TensorFlow but a lot of problems on coursera's servers, the exercises are crashing a lot

It was annoying to keep writing the callbacks when we could use the inbuilt callbacks already provided. twas alright.

Exercises are too simple and mostly mechanical, they don't force to explore the internal network details and concepts

It was a very basic course. Didn't learn much from this course. Expecting a better & in-depth dive in future courses.

Quite short course with not so much information as for a paid course. Other than that - good intro for the beginners

The course was really good but had a brief explanation of stuff in it. Expected it to be a little more informative

the grading system is so bad it slowed the progress too much sadly, but the instructions was so clear and good.

Exercises are a little bit too simple. It is only a matter of copy/paste.

The github folder structure is a mess!

I expected a TF-focused course, this was more "basic synthax of keras". Thanks for the good work nonetheless!

The code is not consistent at some places. There is no high level overview of how tensorflow actually works.

Very brief introduction. Would have been great if the discussion was elaborate and mathematical at times.

Lacks depth and complexity. The course is geared more towards complete newbies or high school graduates.

The assignment is too easy. In most cases, we only need to copy paste from the lecture example program.