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Отзывы учащихся о курсе Sequence Models от партнера deeplearning.ai

4.8
звезд
Оценки: 19,409
Рецензии: 2,112

О курсе

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....

Лучшие рецензии

WK

Mar 14, 2018

I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!

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.

Фильтр по:

2001–2025 из 2,086 отзывов о курсе Sequence Models

автор: 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

автор: 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.

автор: 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...

автор: Hang Y

Aug 24, 2018

Compared with previous courses, this one seems to be rushed. The focus on applications seems to be much higher than the theoretic side.

автор: Yash R S

May 09, 2018

Not as great as the other courses in the specialisation. The assignments can be a little off putting, but lectures are top class again.

автор: Ankit S

Jul 17, 2018

Assignments are not up t the mark.. Expected to have high vocabulary size word embedding assignment, Machine Translation assignments

автор: 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.

автор: 1140325971

Jan 23, 2020

The course is a good course because the lecture Ng.W ,but the exercises is not easy for our beginers for such tools like kears.

автор: Seng P T P P

Nov 08, 2019

The programming assignments in this course are difficult to implement. The detail descriptions are needed inside the notebooks.

автор: Thomas N

Mar 09, 2018

Good subject, but a lot of the course material (like lecture slides and problem sets) was either unavailable or out of date.

автор: 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.

автор: Rudolf S

Jul 15, 2019

Quite a lot of bugs in the first week examples. It took me too much time until I browsed the discussion forums.

автор: 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.

автор: Michael K

Aug 06, 2018

Assignments are very buggy and instructions misleading or incomplete. However the core material is excellent

автор: Pankaj R

May 08, 2018

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

автор: Gargi V

Feb 07, 2020

There were a lot of issues with the notebook especially, for the week 3. The concepts were well explained.

автор: Mikko L

Apr 14, 2018

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

автор: Shengyu H

Feb 06, 2020

Contents are way too easy and the video recordings are often a bit broken (repetition, blank audio, etc.)

автор: Alexander B

Feb 14, 2018

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

автор: Jinxi W

Feb 20, 2018

There are some mistakes need to be correct in the assignments. Still a lot of improvements can be made.

автор: Yao G

Sep 12, 2018

The assignments should be improved. More prep on Keras will help improve the efficiency of learning.

автор: Benoit D F

Mar 19, 2018

Very interesting topic but coding exercices and quizzes were a bit clunky and in need for ironing

автор: Andrei M

Jun 18, 2018

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

автор: Lars O A

May 29, 2018

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

автор: Nagaraj R

Jan 23, 2019

I found this very hard to follow along. The concepts were too heavy and needs a slower pace.