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

4.8
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27,028 classificações
3,214 avaliações

Sobre o curso

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....

Melhores avaliações

AM
30 de Jun de 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.

MH
21 de Abr de 2020

Very good. I have no complaints. I though instruction was very clear. Assignments were very helpful and challenging enough that I learned something, but not so challenging that I got stuck too often.

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2626 — 2650 de 3,209 Avaliações para o Sequence Models

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.

por Rahul P

28 de Set de 2020

One of the best course i ever taken. glad to be part of such wonderful course teach by prof.andrew ng. learn a lot about sequence model and NLP. Highly Highly recommended for beginner in NLP

por Julian R

17 de Fev de 2018

Great Course, very insightful excercises, really enjoyed it - unfortunately some issues with the programming excercises.

Since it's the first run of the course they should have fixed it soon.

por Sharvil G

29 de Abr de 2020

the course content was really impressive, but some topics need to be explained in detail. Also working of LSTM should be further described in detail. Programming assignments are really fun.

por Bhargav A

25 de Dez de 2018

great course, lots of implementation details that are important were glossed over, while other areas had too much hw hand-holding + strict requirements on what the code needed to look like.

por Austin B

20 de Fev de 2018

Very glad I took this course! A little rough around the edges as far as video / assignment quality, but seeing that this is the very first run of this course, I know it will only improve.

por Zachary P

11 de Fev de 2020

The material was great. Some of the programming assignments ramped up in difficulty or lack of perfect execution. However, I still gained extremely valuable information from this course.

por yang

1 de Out de 2019

The lecture for Sequence model was good motivation to get interesting about text and audio processing. All of lectures were very fundamental and intuitive. Thank you very much. Prof. Ng.

por Tamir B

26 de Fev de 2019

Very good and fun course in the sequence. However, it would be very nice if there were some examples of using RNN for things such as self driving etc, outside the realm of speech and NLP

por Tamilarasu S

16 de Fev de 2018

The course videos are very good. However the optional parts of assignments have lots of issues and errors. Please update the assignment to reduce the time wasted unnecessarily debugging.

por pierre-henri S

14 de Jun de 2019

Very interesting exercice and assignments from which a lot is to learn. Content quite complicated which will require from me to come back for review and deepen some points. Thank you !

por Henrique M

28 de Ago de 2018

It was necessary to study extensively the Keras framework to fulfill the code tasks. I suggest an extra module with small simple RNN modeling exercises to better adapt the framework.

por Anthony T

14 de Fev de 2018

Overall, I really like this module. One possible improvement might be providing more information for backpropagation. Maybe as an optional video or just reading materials. Thank you.

por Bruno s

24 de Ago de 2019

nice course even few chapters could be more detailled technically speaking. However the assignements are very nice and helps to complete the understanding. Many thanks for such work

por DIVYA L K

6 de Set de 2020

Thank you Andrew Ng for making me comfortable with the deep learning topics on Sequential data...Assessments were interesting ..can be made to enable us better play with the models

por Karan S

11 de Out de 2019

Week 2 was wonderful to learn and understand. I wish to explore more on LSTM and Attention based models. Video lectures were not enough for me. Still I am happy for what I learnt.

por yuankun x

19 de Mar de 2019

Overall it is a good course. Much need to improve on the feedback of grading of which output is not really helping. Referring to global variables in assignments are really tricky.

por srinivasan v

28 de Fev de 2018

Overall a very good course , i wish the model construction ( i.e. the rationale in stacking up the layers) is covered in bit more detail, otherwise an excellent course, no doubt.

por Rahul S

27 de Mai de 2018

The assignments can be made a little difficult. Can Include assignments of Image captioning, that would have been great. Overall a great course. Sir Andrew Ng, superb teaching!!

por george v

1 de Abr de 2018

great course as always by andrew. would give it a 5/5 but had some sloppy mistakes regarding the formulas. overal impression : exceptional and highly recommended. thanks andrew!

por Masood J K

8 de Jul de 2020

Compared to the previous courses, this one was a little hard for me. Because Dr. Andrew tried to squeezed a bunch of information in this course. It's a wonderful course though.

por Iain C

3 de Out de 2019

Some of the assignments are very difficult to pass. I think I understand the concepts but the instructions for the assignments could be a lot clearer and provide more guidance.

por Apra G

12 de Abr de 2021

I did not feel like I got a super clear understanding on how to use various library functions in keras, I did gain a really good understanding of the underlying models though!

por Gregory S

26 de Mai de 2020

Excellent content, although the exercises - at this stage of specialization - should focus more on NN architecture, than on pure computational and matrix slicing tasks, imho.