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

4.8
estrelas
21,496 classificações
2,453 avaliações

Sobre o curso

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....

Melhores avaliações

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.

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!

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1976 — 2000 de {totalReviews} Avaliações para o Sequence Models

por Austin B

Feb 21, 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 a p

Feb 12, 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

Oct 01, 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

Feb 27, 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

Feb 16, 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

Jun 14, 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 D M

Aug 29, 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

Feb 15, 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

Aug 24, 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 Karan S

Oct 11, 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

Mar 20, 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

Feb 28, 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

May 27, 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

Apr 01, 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 Iain C

Oct 04, 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 Gregory S

May 26, 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.

por Kaan A

Aug 12, 2019

Even though it has some flaws in audio clips and homeworks, programming assignments are fun to do. Great real world applications on this whole specialization is just perfect!

por Lap-hang H

Sep 09, 2018

The content was quite good as with previous courses in this specialization. Just dropping a star because week 1 material wasn't as clear to follow as the rest of the content.

por Juan Z

Nov 29, 2019

Compared to the first two sections, I don't think this section is better than those. Anyway, I learnt some concepts about sequence models which I need to dive into in future

por Tang Y

Apr 11, 2019

The videos are of high quality as always, while the programming exercises had some error in it. Compare with the previous few courses this one seems not polished so well.

por David J

Feb 18, 2018

Thank you Deep learning team for putting together this course. The course has really helped me understand the various possibilities with the knowledge of deep learning.

por Bhavul G

Dec 31, 2018

The first week was a bit too tough compared to the second and third. So, I felt it was a bit hurried. It could have been distributed into two separate weeks, perhaps.

por Cristhian P

Jun 29, 2018

This course was very useful. I would make the programming assignments for the first session a bit clear. Other than that, everything was easy to understand and clear.

por Mike

Mar 16, 2018

Good, but not as in depth as the other lecture series I found. It is faster paced and skips over much more of the detail at which they go into in the earlier modules.

por joris b

Feb 15, 2018

If the programming exercises weren't plagued by some bugs, I would have given 5 star. It's a very complex subject matter, but Andrew takes you through it by the hand.