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Comentários e feedback de alunos de Sequence Models da instituição

26,472 classificações
3,121 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

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.

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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451 — 475 de 3,095 Avaliações para o Sequence Models

por Abhinand J

19 de Mai de 2020

Andrew Ng's amazing teaching is the only reason I took this course and I am not disappointed at all. Well structured course with great programming exercises relevant to real world applications.

por Carlo B

23 de Jun de 2019

The course is really effective both on theoretical and the practical part. All the main topic for sequence models have been presented in an intriguing and clear manner. Congratulations to all.

por Xiaonuo G

24 de Dez de 2018

Great introduction to practical Keras-based deep learning algorithms, studies, techniques and delivered using Jupyter notebooks. Couldn't ask for a better approach to teaching machine learning

por Sajal C

27 de Mar de 2020

Great course for learning about how to deal with sequential data. I really enjoyed it. You can read the keras documentation for the programming exercises in case you are not familiar with it.

por Jean M C

19 de Mar de 2020

Just finished the entire course. I learned a lot. I do believe that they give you too much clues during the exercises, but since I've never used python before, I don't really mind. Thank you!

por Gurudatta P

28 de Jul de 2019

Best Course I have ever completed. The lectures were very engaging and would give you through insight of the problems. Various ideas and their application was depicted in very beautiful ways.

por Duc T H

7 de Mar de 2019

Great course! As usual, very clear and detailed explanation, break down tough concepts into simpler terms. I've learnt a lot from the course. Thank you so much, Prof. Andrew Ng and your team!

por Shravan M

27 de Dez de 2018

Very thankful to Professor Andrew and course instructors and mentors.

I have learned a lot and feel very confident going forward applying the deep learning skills I have learnt. THANK YOU !!!

por Naman S

23 de Set de 2020

Amazing course, just like the previous 4 of the specialization. Sir Andrew Ng has simplified and helped implement deep learning in a really helpful way. Grateful to have such a great teacher

por Steve S

14 de Mai de 2019

This course was my favourite and definitely the most challenging. Every course with Andrew Ng is amazing. Thank you and I will continue to take more courses in this area of specialization.

por f V S

14 de Nov de 2018

The sequence model course is good , but compared to the convolutional neural net course it somewhat lacking in the content. But overall the concepts and assignments are good and challenging.

por BAI Y

3 de Fev de 2020

This course is harder than course 1, 2 & 4. Especially for the assignments of week 1, I spent far more than 4 hours to complete.

It is better to provide more contents on Speech Recognition.

por Abel G

7 de Mar de 2018

The best specialization ever! thank you for all the dedicated people behind these courses and thanks Andrew Ng for explaining all the materials in the most enjoyable and easy way possible.

por Omar A

15 de Jan de 2020

This Course was a nice introduction to Sequence-To-Sequence Models, where we learned about applications involving speech recognition, machine translation, & captioning of images or videos.

por Md F S

8 de Mai de 2019

This is one of the best course which has covered Sequence Model so well that everyone can understand it. Thanks to for this amaing course and specially thanks to Andrew Ng.

por 罗成毅

6 de Jul de 2018

thank you! I wonder if there have any platform or any web that i can continue learn more about machine learning? I want to read new papers or even discuss some idea about machine learning.

por Nurmukhamed

13 de Fev de 2018

Great course. Thank you. I enlarged my knowledge in machine learning and took an inspiration make a research in deep learning, at least I started to read papers and try to generate ideas.

por Labib A

30 de Mai de 2020

I was so confused of RNN, LSTM. Was very depressed after finishing this course i am kinda really happy! Fully understood the logic behind RNNs and LSTMs. Great course highly recommended!

por Nguyen C T

17 de Abr de 2020

Well structured and interesting coding assigments, just enough to make use of what you learn and then you would still need more hands-on experience to master the knowledge provided here.

por ABHISHEK M [ B C A 2 ]

22 de Out de 2020

It's a very good course to learn about RNN and how to use RNN in NLP task. This course is lot more fun and I really enjoyed it. Thanks you my dear sir Andrew Ng for this amazing course.

por Yash A

19 de Abr de 2020

The Toughest one in the Deep Learning Series.But had lots of fun in learning. Now I begin the exploration of Speech Recognition , Music Creation and NLP in muh greater detail on my own.

por Anurag C

13 de Jan de 2020

Thank you very much for the experience and could you also develope a similar course for time series prediction on data other than speech or NLP like sensor generated data, weather, etc.

por Yi L

29 de Ago de 2019

Really learned a lot from this course. This makes me feel closer to my dream! Thanks to Andrew and his crew! Thanks to the course!Thanks to Deep Learning technology! Thanks to Coursera!

por Tianqi T

13 de Jul de 2019

the course itself was great, but Coursera did a very bad job providing the infrastructure for the last assignment. it took me a long time to hack the assignment and submit successfully.