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

4.8
estrelas
26,174 classificações
3,088 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

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.

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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376 — 400 de 3,060 Avaliações para o Sequence Models

por Moses W W

3 de Nov de 2018

This is an excellence training course! I had a wonderful experience learning the leading edge Artificial Intelligence knowledge specialized with Deep Learning and believe this will make a life-long impact to my career path!

por Gurprem S

18 de Nov de 2020

Excellent Course! The maths and concepts were a bit tough to understand and I had to look up some(a lot) of stuff but the learning experience and the thrill of actualling building and training the model is very satisfying

!

por BA M

25 de Abr de 2018

My favorite by far, and I'm not a fan on NLP. Sequence Models, especially attention mechanisms seem to have so much potential. Interested in using them to look at time series data analytics for industrial iot applications.

por Sorin G

21 de Abr de 2020

Excellent Course by Professor Andrew NG, I enjoyed learning what lays under the concept of Deep Learning and Neural Networks.

Thank you very much to Andrew Bg and the team, and as well the mentors supporting the students.

por Junfei S

9 de Dez de 2018

The course content is great overall! The only thing I am a little unhappy is that one or two of the programming exercises have confusion instructions. But finally I made it under the help of peers on the discussion forum.

por T T

26 de Ago de 2018

RNN model was quite difficult for me to learn, but all these lecture videos and programming assignments helped me understand it better. I liked the "Trigger word detection" (the last assignment of this course) very much.

por Shahin Z

29 de Set de 2020

Absolutely fantastic course! Perfectly follows on from the Machine Learning course by Prof Ng et al.

(One slight issue with some videos' audio: there was a very high-pitch whistling that was almost painful to the ear.)

por Joakim P H

20 de Ago de 2018

At first I thought this was the least interesting course, but after the lectures and labs I have to say that this is really the most interesting of them all. However it requires some knowledge from the previous courses.

por Shankar G

13 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

13 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 E

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 :)