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It uses Tensorflow 1, which is outdated now - should be updated to use Tensorflow 2.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 It needs to be withdrawn and updated.

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

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

Week 5 lecture video no audio

Lab is not update for tensorflow 2

Teaches more on Deep Learning models but less in TensorFlow

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 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

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

no audio in the last learning unit 5.

The Course was more about the the types of neural networks and how they work than Tensorflow, except for week 1 where we had a Tensorflow introduction, I could gather a lot from the programming assignments but I think there needs to be more about the Tensorflow library in the lectures.

Overall good course but lectures were a bit weak on underlying math, compared to labs which made it a challenging at times to tie the two parts together.

First of all it was too complex, unlike the course on PyTorch which focused on both Theory + Practical part. It focus only on theory.