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Comentários e feedback de alunos de Sequence Models da instituição deeplearning.ai

4.8
estrelas
26,162 classificações
3,085 avaliações

Sobre o curso

In the fifth course of the Deep Learning Specialization, you will become familiar with NLP models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and more that have become possible with the evolution of sequence algorithms thanks to deep learning. By the end, you will be able to build and train Recurrent Neural Networks 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. DeepLearning.AI is proud to partner with NVIDIA Deep Learning Institute (DLI) to provide a programming assignment on Machine Translation with Deep Learning. Get an opportunity to build a deep learning project with leading-edge techniques using industry-relevant use cases. The Deep Learning Specialization is our 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 gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Melhores avaliações

JY
29 de Out de 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.

WK
13 de Mar de 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!

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2476 — 2500 de 3,055 Avaliações para o Sequence Models

por Seungjin B

8 de Set de 2018

Week1 lessons are a little complex than the previous classes and there are gaps between ground-up python version and keras version of LSTM model. Keras will need to be taught a bit more in detail to follow up.

por Lester A S D C

29 de Jul de 2019

This is by far the hardest course in the specialization. But it was explained well. My only complain is there were errors in the first programming exercise. All in all, I learned a lot in this specialization.

por Guoqin M

2 de Jul de 2018

Great content! I really love Andrew's teaching style. (1 star deduction for some programming assignments where I spent time debugging but it turned out that the point deduction was due to the grading system.)

por Divya G

25 de Mar de 2019

The programming exercises are a little heavy in this course where we need to load and re-load for them to give correct output even if the code had been correct all throughout. Otherwise, the course is great.

por Mathieu D

10 de Set de 2018

4 stars and not 5 stars because the course is shorter than the others and it feels like an exemple in classical forecasting is lacking (sales, time series...).

Really interesting but may be too focus on NLP.

por Zhaoqing X

24 de Jul de 2018

It's an excellent course! I will give it 5 stars if it could offer more interesting and meaningful assignments(Not offend, but it a little too easy and the assignments are not very related to the real work).

por Ayush N G

23 de Set de 2019

The course should contain more explanation about natural language processing like tf-idf,lemmatization,stemming,dialog flow. Although i got a good explanation of working of RNNs,LSTM and machine translation

por Md Z S

3 de Fev de 2019

Great course to start off with sequence model. The programming exercises were in depth and deliver a great learning experience. Would love to see more of sequence literature in the course's future versions.

por Michele I

18 de Abr de 2018

Again a brilliant course from Andrew NG, but though and dense this time. In order to grasp the meanings videos and lectures need to be revised a few times. Also, get some extra info elsewhere does not hurt.

por Aleksi S

22 de Fev de 2018

Excellent presentation, and interesting assignments. One star dropped because a couple of technical issues with the assignment material (typos in the mathematical formulas / expected results here and there)

por Zhao L

8 de Jun de 2019

The contents are great as always. However, the server is not reliable. Once, the grader is down and you can't submit homework. For another time, the connection is lost and all the changes made are lost.

por Eoin T

20 de Fev de 2018

Great course, but I felt the gap between the very high level lectures and very low level labs was a bit too wide. I had some issues with the autograder and losing progress in the notebook between sessions.

por José b

23 de Jan de 2021

Great course. The only frustrating part are the programming assignments as it is very cumbersome to have to go thru the discussion forums to resolve issues. Tough to find helpful insights thru the forums.

por Muhammed A Ç

19 de Out de 2020

Andrew Ng is perfect like everytime. I didn't have any issue with programming exercises unlike other comment so probably it fixed. I wish course to be more detailed especially training word vectors part.

por Angelo C

23 de Jun de 2019

Very well produced and explained. In my case, the nature of the Sequence Model makes understanding the concepts and finishing the assignment more challenging than other segments of the specialization.

por ROHITH R E

22 de Fev de 2019

The course is very short when compared to first 3 courses in this series. It would have been better if more explanation and shorter assignments were provided in the initial weeks and increase the pace.

por Prashant J

3 de Abr de 2019

The previous courses raised the bar and expectations. The assignments for Week 1 and Week 2 were a bit unclear. Lectures for Week 1 and Week 2 can be improved as well. Besides, this is a great course!

por Balazs A

15 de Jan de 2019

The material itself is very informative and useful. But I have to give "just" 4 stars because, the training videos have to be edited better and there were a few mistakes in the programing exercises.

por Saureen

15 de Dez de 2018

Please work on getting the notebooks to work properly. Also very bummed that after canceling my subscription, I won't have access to my homeworks. You guys should give us lifelong access - we paid!

por Yen-Chung T

21 de Fev de 2018

A general overview into the power of sequence models. There is no rigorous mathematics here so most of what students can learn is high-level implementation and intuition about the various models.

por AKUT J R

16 de Ago de 2020

Great final module !

General feedback : was expecting an application example other than image, speech recognition such as related to Supply chain management, production planning, pricing etc.

por Ali K

24 de Mar de 2020

An appropriate course for getting started with Recurrent Neural Networks and its very applications in the domains of speech recognition, sentiment classification, neural machine translation etc

por AASTHA P

16 de Jun de 2020

Overall teaching of Andrew Ng sir is Fabulous, but it was very hectic with the technical problem of the last assignment and I would like to thank Andrew Ng sir for the teaching me this course

por Tina W

29 de Jul de 2019

Very useful materials, but a little hard to digest. It will be more helpful if course lectures and slides can dive a little deeper into each model and provide more granular technical details.

por Kaushik D

17 de Jun de 2019

Exercises are sometimes vague and can be done without full understanding of the material. No officially given notes. No reading material that explains the concepts more clearly and in detail.