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

4.8
estrelas
25,473 classificações
2,997 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

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.

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.

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376 — 400 de 2,970 Avaliações para o Sequence Models

por Shankar G

12 de Jul de 2018

The final course was very brief and bit harder to digest. The assignments and quiz where also tricky but, overall had fun. Thanks Andrew Ng and team for the Deep Learning Specialization course to be offered on Coursera.

por Michal K

14 de Mar de 2018

Out of all five specialization courses, this was second most useful (right after first course in the series). Also one of the few that used any modern DL framework (Keras) and not implementing pseudo solutions in numpy.

por Rúben G

2 de Nov de 2019

I was able to understand the difference between sequence models and previous course models. Moreover, I understood now how text and speech can be processed by AI. Finally, I could understand better the Keras framework.

por Abishek S

30 de Out de 2019

This was an excellent course. The materials were perfectly structured to maximize understanding. I had no idea of a RNN and the course made a fantastic job in explaining and helping me develop a precise understanding.

por Arun K S N

27 de Mar de 2018

Yet again Andrew Ng explains complex topics related to Sequential models in a much easier and understandable way . Barring few problems with the assignments and missing overview on Keras , overall course is a good one

por Swapnil

4 de Fev de 2020

This Is very helpful course in order to learn Recurrent Neural Networks. The first 2 weeks were amazing but the third week was a bit less interesting. This whole series of Deep Learning Specialisation is really good.

por Asaduddin A Z

2 de Mai de 2019

firstly, I know about RNN is from this course, the explanation is clear, combination between theory and practical is great. This is a good resource for you if you want to know about RNN, NLP with Deep Neural Network.

por tianwengang

19 de Dez de 2018

Thank you! Although I have been working on AI for more than a year, coursera has given me a more systematic understanding of my previous work, and many opinions have been very helpful to my work, thank you very much!

por Ankit S

12 de Jul de 2018

This course was very good in terms of practical knowledge as it will keep challenging you in each and every assignment. It will make sure you utilize discussion forum thoroughly :) I loved it Course 4 and 5 are best.

por Gema P

23 de Mai de 2018

This course is excellent .

It might be pretty intense of an ending specialization course .

It might be extended with how to structure sequence machine learning projects module .

Thanks again for making this possible !

por Fabian M

13 de Mar de 2018

Thank you for creating a course that provides so many insights into such a difficult topic. Were it not for this entire specialization I might still be lost looking for a way to enter the field of AI. Thanks a lot!

por SP

16 de Fev de 2018

Andrew Ng's course is immensely enjoyable and accessible as usual. I especially appreciated the use of durian as an example throughout. It very much made me hungry and nostalgic for my time at home in Southeast Asia.

por Madhuri S J

12 de Jun de 2020

The Sequence Models course was very unique. When I had read about RNNs many concepts were not clear. Now I have a better understanding of RNN, GRU and LSTM. But I have to still learn dig more into Attention models.

por Joachim D

3 de Fev de 2019

Great course, very clear presentation and interesting examples on how to prepare data and how to use keras. Very interesting on how easy it is to build & train complex networks with keras (once you have the data..)

por Ankit V

6 de Out de 2020

Andrew Ng Sir made deep learning so easy to understand and interesting. I was intimidated by words LSTM ,RNN, Attention etc but now i am comfortable with these concepts. Thanks a Lot Sir for this wonderful series.

por Javier H E T

13 de Jun de 2020

Great course. Very challengint for me, but thanks to the clear explanations provided i could finish it and have surprises when I found that many of my thinking on the matter was right!

I'm so grateful. Thank you!!!

por Wang H

11 de Mar de 2018

In my opinion this 5th course on sequence model is the most interesting (and the hardest) course in this specialization; not only the content but the programming practices are well built.

It's my favorite course :)

por Zachary M

18 de Fev de 2018

Thanks for taking the time to put this together! It was very helpful, and I've gone from total ML newbie to confidently creating my own useful models and applications. I recommend this course on a regular basis.

por Harshavardhan S

9 de Fev de 2018

A Brilliant Course!!! I got to learn a lot very efficiently about Recurrent Neural Networks!!! Thank you so much deeplearning.ai!!!

I learnt a lot through the programming assignments!! Beautifully created course!!!

por Ananya R

27 de Jan de 2019

Great Course, just like the rest in the specialisation! Really like the method of teaching!! Some sections of the assignment were coded before hand but would have been nice to be able to code them as well. Thanks

por Aby P

26 de Jul de 2020

This is how a course needs to design, hats off guys a proper mathematical explanation for intuition. Andrew ng he has special quality how to draw students if topics are too hard that's what a good teacher needs.

por Anjali M

21 de Jul de 2020

Dr. Andrew is the best instructor! The course not just covers the conceptual understanding but also connects you to everything that has happened/ is happening in the particular field, and the "Heroes" of course!

por Kevin R

28 de Mar de 2020

Overall the course was quite satisfactory and exhaustive learning. The explanation of professor Andrew Ng was very simple and understandable. I loved learning the course and completed it way before the due date.

por Omar R

12 de Ago de 2019

Excellent course both in terms of content and the tools provided! Of course, you've got to put the effort to understand what's going on and pull together the bigger picture, especially in the weekly assignments.

por Marcin G

1 de Fev de 2018

Amazing course. Andrew Ng has exceptional talent to explain complicated concepts. I have heard about RNNs in other courses but this is the first course, that actually made me understand them. Highly recommended.