course needed to be updated for labs. Now Google moved to Tensorflow 2.0 this year.

The codes need to be updated for TensorFlow 2.0.

This course is incomplete, and is NOT recommended.

It uses Tensorflow 1, which is outdated now - should be updated to use Tensorflow 2.

It does not provide practice sessions.

Week 5 - Autoencoder - have no audio, no captions, nothing.

There is no final exam to ensure our competence. No labs we need to be graded on.

This is not a worthy Coursera course. It needs to be withdrawn and updated.

Good content. A bit too fast on some complex concepts and missing audio for the last lecture but great lecturer.

Mostly trivial quiz questions and no graded practical work. The certificate is therefore not worth very much.

Teaches more on Deep Learning models but less in TensorFlow

A concise and comprehensive survey of deep learning models. Great labs (which sometimes don't run in IBM Skills Network. Thanks to IBM Watson Studio which came to the rescue in those cases). The labs reinforce concepts and illustrate Tensorflow coding to run the models. Lecturer is very clear and encouraging in tone. Thanks for the course.

Very clear explanation and well organized course. I give 4 stars because videos of Week 5 are missing the audio and subtitles.

Week 5 lecture video no audio

Lab is not update for tensorflow 2

some audios are missing

needs to be updated for tensorflow 2 and the last videos were missing sound

Material from the last 2 weeks aren't comparable to other weeks.

This course is a joke. It's a brief overview of a few types of models. Also there is no sound in half the videos.

Lack of content, quizzes were poor, no sound or transcript on 2 videos. Took about 2 hours total.

这什么课？即没多少Deep Learning

的内容，也没多少TENSORFLOW的内容？

I am not sure if no final assessment is a good idea. For the depth of the course it can possibly a major graduation killer but for practical reason you should put that back so people get to be serious with this course.

It helped me to understand how TensorFlow can be used to build the neural networks

It's a great opportunity to really learn about Deep Learning with Tensorflow!

Simple and easy-to-follow course for a hard-core python package

Excellent lecture. i have learned so many stuff. Thank you!

Thank a lot for this course! It quick and really useful.

Very interesting material, and easy to follow along. The notebooks are a great resource. I am glad to have been introduced to these concepts. However, I felt this course was too easy and it did not encourage the student to complete projects or any independent work. In any case, this course was worth taking.

I liked the course; however, there was no sound or transcripts for the last week of the course. This required me to research all the topics that I saw on the screen. Still a good learning experience but put more responsibility on me to learn the topics.

Videos are good, but the code is more complex than other courses and it needs better description of what is happening, or less complicated code

The coding part was hard to understand. If that part could also be covered in videos as a tutorial.