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Kursteilnehmer-Bewertung und -Feedback für Sequence Models von deeplearning.ai

4.8
16,683 Bewertungen
1,824 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. deeplearning.ai 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....

Top-Bewertungen

JY

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.

AM

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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1726 - 1750 von 1,803 Bewertungen für Sequence Models

von Andrei M

Jun 18, 2018

The content is super interesting, but the assignments are more of the same 'fill in the blank'.

von Konpat P

Feb 16, 2018

Not as well done as before. But, still very informative.

von Michel M

Mar 04, 2018

This module didn't look as prepared than the others. The assignments had far more errors than the others and also the video were less compelling

von Krzysztof J

Feb 04, 2018

The course is generally good. However there are some issues with lecture videos editing (some sentences are said multiple times), and with activities (e.g. default settings hardcoded in one of notebooks, didn't let have output shown as reference, also in some cases automated grader has some assumptions, which need to be found using trial and error method).

von Wynne E

Mar 14, 2018

Keras is a ball-ache.

von Danilo G F R

Feb 06, 2018

Assigments too complicate without a necessary guide and help.

von Heming C

Feb 08, 2018

The programming exercises can be better polished, there was quite a few errors that caused unnecessary confusion to the students. Many times, I felt like I was fighting with the Keras/Tensorflow API rather than solving a ML problem.

von Felipe M

Feb 24, 2018

Although the course content is very useful, the hurry in which the course was put together does show. Video was clearly under-edited (as is apparent by Andrew repeating some statements in the expectation that the previous one would be edited out), and the auto graders caused me to waste many more hours than truly needed to get my assignments in a format that would be accepted. Finally, I was very disappointed at the fact that the specialization was launched and then the last course pulled out, so I had to pay two months even though I had budgeted my own time to finish it in one.

von Shrishty C

Jul 06, 2018

Was little hard to understand at times. But it was good.

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.