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Отзывы учащихся о курсе модели последовательности от партнера deeplearning.ai

4.8
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Оценки: 28,085

О курсе

In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. By the end, you will be able to build and train Recurrent Neural Networks (RNNs) and commonly-used variants such as GRUs and LSTMs; apply RNNs to Character-level Language Modeling; gain experience with natural language processing and Word Embeddings; and use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering. The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career....

Лучшие рецензии

AM

30 июня 2019 г.

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.

JY

29 окт. 2018 г.

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.

Фильтр по:

3326–3350 из 3,368 отзывов о курсе модели последовательности

автор: Clement A

7 авг. 2020 г.

Really good to understand the basics, however, it doesn't use the latest TF2 and the exercises are either trivial because too much pre-worked, or too hard because it doesn't give the information required to succeed.

This course really needs to be updated.

автор: Mladen M

9 июля 2020 г.

Programming assignment instructions are not well written (clear), and as a result it is easy to get stuck on something of little relevance to deep learning. Also, I would suggest that you make the lecture notes in written format available.

автор: Chris M

21 авг. 2019 г.

The lectures cover the basic design of the models but don't help teaching you how to actually use them. I learned more by reading blogs to get the programming assignments to work then this course.

автор: Ashley H

14 сент. 2018 г.

Lectures/Videos were excellent, the assignments were very poor (loads of errors in the code not corrected over 7 months since the course went live)

автор: yuvaraj

11 дек. 2020 г.

The course videos were very lengthy and difficult to follow. Many topics discussed in course video were not part of programming assignment

автор: Simeon S

18 мар. 2020 г.

Good introduction to the concepts. Really poor quality videos and exercises. Very frustrating when working on the assignments.

автор: David L

28 июня 2020 г.

Good lectures. Programming assignments are useless fill-in-the-blank exercises, you don't really learn much from them.

автор: Thomas A

10 окт. 2019 г.

The programming assignments really are like pulling teeth. There's not really enough guidance leading up to them.

автор: Mark

24 окт. 2018 г.

The course videos and the programming assignments were lacking. And there was no support in the forums.

автор: Jeffrey S

2 июня 2018 г.

Spent more time trying to work around a buggy grader than learning the underlying concepts.

автор: Frank T

23 окт. 2019 г.

Too hard to understand compared to the previous coursed in this specification.

автор: Hamid A

13 нояб. 2020 г.

Was very difficult. please add more expiation of mathematical equations.

автор: Sukeesh

18 апр. 2020 г.

Little unsatisfied with the final part of the specialization.

автор: Clashing P

12 сент. 2021 г.

assignments are very hard and needs lots and lots of search

автор: Arsh K

20 авг. 2019 г.

Lack of Keras training made it often hard to do layer code.

автор: Tom T

9 янв. 2020 г.

This course needs more instruction on Keras.

автор: Mark N

12 февр. 2018 г.

Poor explanation for alot of things

автор: Milica M

10 мая 2020 г.

boring and uninformative

автор: João P B D

4 янв. 2019 г.

Too difficult.

автор: Martin B

11 мар. 2018 г.

Needs work.

автор: Alex L

5 мар. 2018 г.

I feel sad.

автор: zhesihuang

3 мар. 2019 г.

sucks

автор: Selina M

6 авг. 2021 г.

The course overall taught me new things, but I am still kinda unsure how to exactly use it.

The exercises and explanations weren't as enlightening as earlier and unfortunately left me rather confused, despite passing 100%. You definitely need to consult a lot of other sources for understanding the topic.

The last transformer exercise left me stunned though in how bad it was. When I understood something it contained obvious mathematical inconsistencies. It was the first time I needed the forum help, which is outside the coursera website and they force you to sign up in addition to coursera.

The tutor reacted fast but extremely patronising, going so far as pretending mistakes in the exercise didn't exist, but very eager to blame me for using an outdated version, that I wasn't using.

Did not enjoy the experience.

автор: Aldiyar K

12 мар. 2021 г.

Oversimplifying material, such as not showing any math foundations and proofs, does not lead to an intrinsic understanding of the material as well as fill-the-gap assignments do not enhance comprehension.

I understand that the course is intended for the broad audience but will one be able to implement those Keras and TensorFlow algorithms on a moderately complex problem, which is the ultimate goal of these courses? Highly doubt it because the code is pre-written for students and step-by-step guide is provided. In my opinion, one could go straight to assignments and induct / deduct the answers.

автор: devesh r

19 окт. 2020 г.

I love Dr. Andrew, I seriously do. He has inspired me in the field of Deep Learning like no one else did. But I detest how this course is made so expensive and in a wrong direction. I subscribed and paid $225 and I still was not given a decent amount of time to finish the course, even when I asked for extension. If this is the way these courses are, its better of learning from youtube. It is not worth the money