Bewertung und Feedback des Lernenden für Sequenzmodelle von deeplearning.ai

I seriously didn't want this to end. Completing this specialization has been a joy from the beginning. Prof. Ng is absolutely brilliant and one of the best educators I have had the pleasure to study under.

Excellent course, providing a broad range of theory and exercises to apply newly learned knowledge. It was time very well spent getting started in Deep Learning. A next more advanced course would be great!

All great, very explicit and detailed. I just hope we can add more application exercices to the last week content so that we know better how to use Transformer Network. Thanks Andrew and all team members!

All specialization is the greatest starting point in Deep Learning in the world

I switched from software engineering to deep learning (my current working place)

Starting GANs specialization

Thank you so much

I really enjoyed the course but not only me. My kids had lots of fun with trying the emojifier exercise. Thanks a lot for all 5 courses, which I found just perfect way to quickly get some taste of the AI.

The materials in this course were fantastic, and the problems were extremely interesting. There are still some typos and glitches in the programming assignments, but I'm sure these will disappear in time.

Excellent course - Andrew's teaching is what's so needed in the machine learning community. He explains concepts properly so that one truly understands them, and thus knows what to do when applying them.

Course content was great. Excellent content and pretty up-to-date material. The programming exercises had very cool examples, but sometimes it was unclear how to construct code (lots of web searching).

Very well structured course, most content does require self going over and full understanding as some concepts are not easy to grasp but nevertheless the explanations provided do help for the most part.

Well structured course with useful programming assignments. Provides an ungraded section with advanced materials to work on, which is good for those who want to implement DL algorithms from the scratch.

I liked the profound and deep explanation of the underlying maths and the procedure of neuronal networks very much. Also to be able to programme a neuronal network on my own was really impressive.

brilliant course, great quality instruction from Andrew Ng. The only faults are that some of the labs have not been supervised properly being a but buggy and a couple of later lectures were very dry.

the assignments were a really good format for someone who hasn't learned how to derive wrt multiple variables. It made sense to have the formulas provided to introduce a context for me: a developer.

One of the best thing from this class is not only we can understand the concept of RNN, LSTM, etc, but also I also get the idea about how these technique can be used in many daily life applications

This is one of the most comprehensive yet enjoyable courses in the whole specialization! There are several assignments of practical applications. Thanks for the time and effort put into this course.

So many possibilities will be presented in front of you after this course. The only limit is the boundary of my imagination and creativity, that is how I feel now upon the completion of this course.

This was a tough one. The specialization is well structured and slowly progresses in terms of complexity. Having worked on RNN, i thought I would ace the projects. Different story though at the end

Dr. Ng and team did a great job! Dr. Ng delivered even the most complicated concepts in the most lucid way possible. Assignments created by the team are awesome and very good to work on! 5/5 course!

Such a nice instructor and very good course material to understand the basics of Deep learning. I really enjoyed this course , Thanks for making such online course for us. Once again a big thanks.

It's an exciting course to learn about sequence models. The assignment illustrate the concept via step by step to understand how to implement how to implement the models and process the input data.

A really joyful introduction in the Sequence Models, such as RNNs, LSTM etc. Sometimes the assignments got a little hard and with patience and help from forums, it gets achievable! Thanks again! :D

Excellent course! This course extensively covers all of the relevant areas of NLP with a strong practical element allowing you to applying Deep Learning for Sequence Models in real-world scenarios.

"Machine Learning" by Andrew Ng is my 2nd Coursera course in 2013, and "Sequence Models - Deep Learning Specialization" is my latest Coursera course in 2018. Both are really great and very helpful.

A great course created by Andrew Ng, with a proper proportion of theory along with practicals this course serves as a great beginning point for someone who is looking to enter in the field of NLP.