The exercises are not well designed: instructions are not clear and the results are not graded.

Good teaching but a tough course to understand . good that there is no graded coding assignment

Good content. But there was no graded lab and audio quality of the videos is very very poor.

Concepts are explained less as compared to a great course on convolutional network course-2

I wish there are more hands-on practice projects and more explanations of the NLP concepts.

some broken links and about 20-30% of the colab linked work books don't run out of the box

i was hoping to go more into details about building Transformer for RNN using TensorFlow

I don't think it teaches well. The materials are not organized suitably for beginners.

It would be better to have acess to the notebook of lessons and some explainations

I wished to learn more details about the different types of RNN like GRU or LSTM.

There sh'd be a good description in one course instead of visiting other courses

I think the course is a very basic in the topic. Many details are not explained.

The code should be explained a bit better on the advanced RNN, LSTM examples.

moved very quickly...needed a bit more theory and slower code walk throughs

Comprehensive explanation videos but not enough practical coding exercises.

Course was realli nice.I liked how they focussed on self learning approch.

Surprisingly little material. The ungraded labs are okay but very simple

Compared with the two previous courses I found this one very boring

good overall! but the course materials are maybe too basic...

no graded coding exercises, scope is extremely simplistic

Could've lot of small exercises to understand much better

it would be better to include graded assignments as well

Could be more detailed, lots of doubts are still there.

The sound is very low and I have to strain to hear them