Far to simple. Significant concepts were glossed over and the exercises were mainly copy and past from the examples. Lessons that covered a "week" took < 1 hour with a couple minor points learned. Don't recommend if you want to really know how CNNs work.

The content could have been covered in 15 min. Moreover, I thought you guys will teach tensorflow low level API and estimators etc. atleast in course 2. Also, what happened to the graded assignments ? I finished this course in 40 min.

The course simply does not cover much information. The whole course could be compacted into a decent one hour lecture. Andrew Ng has some great courses on machine learning but I don't believe this to be one of them.

I was wasting my time with small coding obstacles for setting up the data (missing hints ?!) instead of getting teached on how to implement models in various ways and how to use regularization for real...

Again very superficial. Yet, some assignments required tweaks that were never teached (i.e. which optimizer to use when, when to use "sparse_categorical_crossentropy", etc.), which was frustrating.

The course material is good and the lectures are great but rating it low to bring attention to the assignments which were old and incomplete. They really need to be updated. Specially week 4.

In my opinion there is to little background explanation. There were errors in Programming Assignment

in week 3 and 4. I had to look in forum discussion so I could complete the exercise

weeks from 1-3 were perfect.

But the programming assignment on week 4 needs to be fixed. Please add hints and examples, otherwise it is just a headache

No enough time spend in the actual code which limits the learning on the understanding of the concepts with implementation. Doubt how useful this is

Last exercise is so bad. It didn't even discuss about flow function, why it's need 26 last layer? isn't it should be only 3?

Absolutely awful grader. You spend most of the time figuring out errors and intentions of the grader writer.

Very superficial look at deep learning. A lot of the programming assignments had little to no context.

Repetitive chapters, repetitive info on videos, and not very useful final test. They have to review it.

It's too easy for an intermediate machine learning leaner, and it's little about naive TensorFlow.

Specially in week 4, big gap between information taught in the lecture, and the last assignment.

poorly designed exercises

poorly designed material that all could be said in just 1 or 2 weeks

Some notable omissions of key information in instruction, but mostly the exercises suck

The content are good, but the audio is low and the exercises are not well documented.

very basic.

There's hardly any video time. We can finish the whole course in a day

HWs are not well and thoroughly-thought designed (Grader runs out of memory ).

Average content. The last assignment for week 4 was structured quite poorly.

coding assignment should be included otherwise it is easy to get certificate

expecting more advance topics instead of just using Keras.

The jupiter notebook exercises are a mess, pls, fix them

The last assignment is poorly designed and a real pain.