The quiz has a question about "image anomaly detection" - not fitting the course.

There is little explanation, especially what the influence of the parameters are. Most of the time one spends typing and the aloted rhyme time is way too short. I was watching at 2x speed (an annotation told to use 1.5x speed) AND WAS STILL NOT FINISHED when the allotted time was over.

Think hard if you want to pay money for that stressed learning pace.

The above rating has nothing to do with the actual content, but has everything to do with the flawed system used to bring the content.

After trying to start this one hour course for over three hours, I gave up. The product (Rhyme) is clearly not ready, so it's not worth your money (yet?).

If you compare the value you get out of these courses versus the other courses on the platform, this should actually be zero out of five.

Rhyme is Bogus. The instructor did a fairly good job. Good for a quick refresher. Do not expect any conceptual stuff. It is for people who know the theory and need some practice doing applied DL on Time Series.

Pathetic experience! I see that this is a good idea executed poorly. Clearly Rhyme is not ready yet. I experienced the following issues. 1. Long connection times for Rhyme. In many cases, the desktop didn't even connect. 2. The keyboard of your machine is not synced with Rhyme's desktop. So, certain keys (e.g. CAPS LOCK) don't work. 3. The instructor doesn't explain why he is doing something, just does it.

Coursera should apologize for wasting my time.

Litteraly awful. A waste of time when you just copy code without explanation. It's actually worse when you know about what you could do, and you compare it to the level of this project. Also, there's no interpretation of the model's results. When you're done writting the code mindlessly, the project is done.

1. The platform is not easy to use. The mouse sensitivity is lagging, some shortcuts, like "CapsLock" and the number keyboard cannot be used normally.

2. The instructor didn't explain why he does everything. He just did, and you just need to follow what he typed. After the project, you still didn't learn a lot.

3. I would recommend you just use Youtube to learn the same project and use Google Colab to run everything on your own computer. That way you can learn everything on a better platform for an unlimited time, and for free.

When I was taken this guided project, I was attracted by the title (Anomaly Detection in time series), but when I started the project I was very unsatisfied, I found little bit of explanation about the theory behind each steps of coding (no picture, no schema), without any explanation even for dimension of input and output. and finally I was surprised by the time to work on the cloud is limited, and it got me out the cloud before finishing the code. Doesn't recommend it

Full of conceptual errors, the presenter doesn't master the subject, this is obvious. Very disappointed by this project, Coursera used to be better than this!

Not very clear and some questions in the forum needs to be answered, however, the instructor did not answer them

It is one of the best guided project I came through on coursera. The project is of intermediate level, quite clear and understandable. The instructor from rhyme was quite good. He explained every part, every function and reason behind their use quite clearly. I recommend this to anyone who is already into time series forecasting and wants to improve his/her skills into it.

This course is very well structured and delivered. Progressive introduction of concepts and intuitive description by Snehan really give a sense of understanding even for the more complex area of the training. Amazing course for people looking to understand the functions of an IDS. Definitely will help me in my future modelling efforts.

This guide is incredible, easy to understand for beginners in the field like me, I'm really grateful because it helps me a lot.

It is good. step by step so I can understand. but unfortunately there are no subtitle.

I love how well he explained everything and made it simple to follow

Nice course to learn the use of LSMT and autoencoder combined.

Excellent way of teaching and also good teacher as well

Very well explained. Instructor knows what to do.

An informative course, worth spending time on!

Very helpful project

very useful course

Clear and concise

Excellent project

thank u coursera

Very Helpful !

Useful example