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

4.8
estrelas
26,142 classificações
3,082 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

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!

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.

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476 — 500 de 3,054 Avaliações para o Sequence Models

por Dhritiman S

22 de Mai de 2018

While this course was excellent, it is worth noting that the programming assignments were sometimes very very challenging and there was little to no guidance in the accompanying hints.

por Matthew A

8 de Abr de 2018

Thank you so much for this course. It's beyond helpful. I'm very grateful for the path of discovery that it has provided and excited to continue developing my skills in the real world.

por AnnMargaret T

19 de Mar de 2018

A wonderful conclusion to a thorough sequence! I enjoyed this specialization so much. Thank you to Andrew Ng, and Teaching Fellows, for putting this program together! Much appreciated!

por Steven Z

18 de Fev de 2018

This was the most difficult course in the series, but also has the greatest application to the kinds of problems I am interested in. Thank you creating this course and series! - Steve

por Brandon W

17 de Fev de 2018

This time around the programming exercises were a bit of guesswork. Would have been helpful to have more informative error messages. However, the course was very well taught as always.

por Okan Y

28 de Ago de 2020

Excelent resources and learning materials, it was very intiutive and helpful, thank you to Mr Andrew and his team. That was my last course in specialization, I will miss this place :)

por Constantine E

14 de Jan de 2019

Excellent course!!!

The only feedback for improvement is that it took me much longer time to complete the homeworks than advertised. So probably the work estimates need to be refined.

por Lakshya P R

7 de Set de 2020

It is a well designed course and will teach you things in a way where you will never get the feel of being left behind. Each and every word of Prof. Andrew Ng deepens your knowledge.

por PRACHI G

25 de Jul de 2018

Great course, great lectures and assignments. It would have been slightly better if the assignments required more input from students' side rather than providing most of the details.

por Vamsi K B

29 de Abr de 2020

This course taught me so many important concepts in such an engaging way.

Andrew Ng is the best teacher I have ever come across.Looking forward to do more courses from you.

Thank you!

por Zebin C

18 de Mai de 2019

This course is hard to learn. It requires a lot of basic concepts about NLP and RNN. Fortunately, programming exercises have effectively deepened my understanding of these concepts.

por Alex Y

15 de Mai de 2019

Excellent overview of recurrent neural networks and applications like NLP, speech recognition, and sentiment analysis! The assignments especially were comprehensive and fascinating!

por Abe K

11 de Mai de 2019

This course is AWESOME!!! I learned so much and it was put together so well. This course allowed me to write an article on attention and better understand stacked LSTM RNN networks.

por 邱依强

10 de Mar de 2018

I have the best time with you who designed the course and learnt together. When the professor said thank you, I was really moved and, not a words can express my appreciation to you!

por Amit J

18 de Abr de 2020

I got very valuable insights from this course. I have a raspberry Pi in home using which I control a lamp. I am going to activate it with speech based on learning from this course.

por Hariprasad K

1 de Fev de 2020

Thank you so much for the entire deep learning specialization. Thanks for generously sharing so many aspects about various topics, which will be otherwise difficult to come across.

por HEF

2 de Jun de 2019

The most challenging one among all 5 courses of this specialization, but I also got the most fun from the videos and programming exercises. The discussion forums are quite helpful.

por Thejan W

4 de Abr de 2018

A very well organized course. Assignments, lectures, almost everything is extremely organized and rich in content. This gave me a concrete theoretical knowledge on sequence models.

por Beda K

28 de Abr de 2018

Great overview of sequence models. This was the course in the series that was most relevant to my topic of interest, so I was looking forward to it and enjoyed every moment of it.

por Luis d l O

26 de Mar de 2020

Very interesting course for those who do not know sequential models. As for the programming exercises, they are very easy to complete but help understanding how everything works.

por Madhukesh S

26 de Fev de 2018

All the courses are great, but this is the one I was interested in most. It didn't disappoint. The exercises were a bit challenging, but a lot of fun and relevant to the subject.

por RISHAV K

10 de Jul de 2020

Apart from a few frustrations in earlier assignments because of some errors in the Jupyter notebook, which have rectified, the course was a challenging and rewarding experience.

por Angam P

24 de Fev de 2020

Great introduction to sequence models. While the actual concepts are hard to grasp, programming exercises has given a very good understanding of the application of these models.

por Kevin C

25 de Dez de 2019

I am pleased about the in-depth explanation about RNNs, LSTMs, and GRUs, as well as the Attention mechanism. Those were the topics that I was looking for when taking this class.

por Manfred P

11 de Nov de 2018

Awesome course. Andrew Ng is a very good teacher. I've also done the DL course on Udacity which was very unstructured and hard to follow.

The only thing I was missing were GANs.