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17,163 Bewertungen
1,876 Bewertungen

Über den Kurs

This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others. You will: - Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs. - Be able to apply sequence models to natural language problems, including text synthesis. - Be able to apply sequence models to audio applications, including speech recognition and music synthesis. This is the fifth and final course of the Deep Learning Specialization. is also partnering with the NVIDIA Deep Learning Institute (DLI) in Course 5, Sequence Models, to provide a programming assignment on Machine Translation with deep learning. You will have the opportunity to build a deep learning project with cutting-edge, industry-relevant content....



Oct 30, 2018

The lectures covers lots of SOTA deep learning algorithms and the lectures are well-designed and easy to understand. The programming assignment is really good to enhance the understanding of lectures.


Jul 01, 2019

The course is very good and has taught me the all the important concepts required to build a sequence model. The assignments are also very neatly and precisely designed for the real world application.

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1776 - 1800 von 1,854 Bewertungen für Sequence Models

von Lars O A

May 29, 2018

Put to much focus into getting the Keras code to work instead of truly learning the algorithms.

von Iván V P

Feb 18, 2018

Several grader issues, only 3 weeks of work, and a lot of errors in the solutions... In addition, less content than in the other courses...

von bernd e

Mar 10, 2018

Should be five weeks instead of three. Dive deeper into Details

von Alexander B

Feb 14, 2018

incredibly boring. I mean at some task you literally asked to type in "= False" instead "= None". Really?

von Leandro A

Mar 18, 2018

There was a bug in a programming assignment notebook that took too much time to notice that i was doing ok but the expected ouptut was wrong

von Pier L L

Feb 14, 2018

With respect to the others, this one seems to be prepared almost in a hurry and the learning curve is very steep and sometimes the programming assignment don't have a nice progression as the others.

von Rajesh S

Feb 25, 2018

GRUs are poorly explained. Unable to get past Week 1.

von Mikko L

Apr 14, 2018

Would have required more of the "intuition" building material. Worst of the 5 course series, but still ok!

von Søren M

Feb 16, 2018

Not as good as the previous courses in the series, and some of the assignments where broken, and super hard to debug.

von Nachiketa

Feb 16, 2018

This course was good but in comparison to the other courses in the deeplearning course series, this course lacked adequate depth.

von David H P

Apr 03, 2018

The programming assignments required some extra effort to understand Keras which I thought may need an introduction video like tensorflow.

von Mohsin J

Jun 07, 2018

This is only good enough, not good course. All previous ones were 5 stars, definitely!

von Maysa M G d M

Jun 25, 2018

I think you have to know more keras than is explained in the course. The keras documentation it is not enough.

von Aliaksandr P

Mar 31, 2018

This is a very interesting topic. However, I believe the course itself can be improved. I believe there can be more information about NLP and sequence models in lectures. It would be nice to add lectures with practical suggestions about training and tuning sequence models. There were lots of typos and mistakes in notebooks that were found by other fellow students and not addressed by mentors.

von Zhao H

Jul 06, 2018

Too much was given in external python code for the first week's assignment (that should be learnt by us): not a good thing for us to gain a good understanding

von Sumandeep B

Mar 30, 2018

This course is good for introduction to sequence networks, but I felt this is not at par with the previous course 4 (CNN). This feels a bit hurriedly done, with many important things only just touched upon. This should have been a 4 week course like the previous module. Then due attention could have been given to the field of speech, audio, sequence domain.

von Slobodan C

Feb 20, 2018

The best part of the course are "intuitions" presented by Prof. Ng. The worst parts are technical problems with Coursera infrastructure, and insufficient number of mentors available to offer suggestions. For example, in forums there are some doubts about the optional parts of assignments (bad formulas etc.), but these quite valid questions are just not addressed by anybody. I would also suggest adding a separate course on Keras as a part of the specialization, because the Keras introduction offered in a specialization is way too basic. This makes it quite difficult to go through the assignments for the sequential models. It would also be helpful to extend the last two courses to five weeks or so, to cover course material in more details.

von Shanger L

Jun 05, 2018

does HW created/reviewed by different ones?

von Pankaj R

May 08, 2018

Require a little depth, considering the complexibility. At least 4 Week course should be their instead of 3

von 许晶鑫

Jun 11, 2018

The supports in keras programming was so poor, that I could not quite understand each step. And the server was horrible, always got 405 response when saving my codes.

von 田奇

Mar 03, 2018

this course is the most difficult in deep learning specification, but i think Andrew NG should design more homework for word embeddings and bidirectional rnn, i do not understand how it works yet

von Jie Y

Mar 31, 2018

The class covered too less on the Sequence models such as LSTM and GRU. It has too much domain knowledge related videos. Also, it does not have any video related to Time Series.

von Kaupo V

May 07, 2018

The Keras programming exercises are quite weak. Please re-think how to teach them more systematically. Currently it is quite a lot of hit and miss.

von Hans E

Mar 03, 2018

Great lectures, great teacher!

I would have given 5 stars but for the problems in the exercises / grader. Some problems that are know for weeks or even months are not resolved. This causes many wasted hours for many hundreds of students. Please solve this and make it a 5 star course.

Many thanks to Andrew Ng and the mentors!

von Tushar B

Jun 12, 2018

Issues with assignments. Took more than 4 hours to figure out the problem.