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Отзывы учащихся о курсе Sequence Models от партнера deeplearning.ai

4.8
звезд
Оценки: 19,362
Рецензии: 2,107

О курсе

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....

Лучшие рецензии

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!

AM

Jul 01, 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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226–250 из 2,083 отзывов о курсе Sequence Models

автор: Brian ( B

Feb 22, 2019

More lectures are needed in the sequence models to make these models or ideas clear to deep learning learners. I found this course is the most difficult one to follow in this series even if I got quite a lot experience on time series topics.

автор: Sabyasachi P

Feb 28, 2018

It was a great learning experience. Thanks Andrew Ng for the wonderful content. However, there are still some mistakes in the programming assignment such as in the expected output of 3rd assignment. Kindly correct it. Overall very satisfying!

автор: Emmanuel T

Nov 21, 2019

Great course! I feel some great accomplishment having finished this specialization I began 2 months ago. This one course could use a bit more of Keras hints or optional Keras course for those who do not have a regular use of the framework.

автор: Xinyu L

Oct 31, 2018

This course is great if you want to know about sequence models for areas like nlp and speech recognition. They provide assignments that is solvable and their forum is active, and you can always find people solved your confuse on assignments.

автор: yangfan x

Mar 29, 2018

The video lectures are awesome. But the project is too fast-paced. I feel I am just following the instruction and keras doc, instead of understanding how keras works. Testing me how to create dict in Python didn't make me feel happy. Thanks!

автор: Pedro M H V

Dec 06, 2018

Great course: material, instructor, assignments, everything! Perfect way to introduce or consolidate your knowledge in recurrent neural networks to model sequence data with a really strong component of direct industry-relevant application.

автор: hervind

Mar 23, 2018

Well structured and easy to comprehend.

Mr Andrew Ng and team has organised the course in the best way.

Through this course I get new theory and programming experience for my self.

The exercise is fun like naming dinosaur

Thanks after all

автор: Mehul

Aug 27, 2019

Feels great to complete this wonderful journey. Once again thank you Andrew Sir for creating this type of novel courses, great to have you as an instructor. Hope I someday would build a great model of my own, and get a chance to meet you!

автор: Alex B

Mar 23, 2018

Very good, by necessity it's a little hand-holdey but otherwise it would take an unreasonable amount of time to cover the material. Hopefully I'll be able to leverage the background i gained in the specialization in future job experience.

автор: khushal m

Apr 11, 2019

I think it is the best courses designed so far. Gives you exactly the appropriate amount of information needed to understand basics behind sequence models. A must do course for all the students who want to pursue a career in this field.

автор: Amanda W

Mar 22, 2019

Andrew Ng does an excellent job of explaining and teaching various sequence models in a format that any layman can understand. I really enjoyed this course and look forward to taking more corses with Mr. Ng and his staff in the future.

автор: 刘尧

Nov 17, 2018

Finally, I finished all the courses of the specialization within 4 weeks! Great courses, and I will recommend everyone I met who wants to learn ML and DL to go and see this series of courses. Thank Andrew Ng and course assistant as lot!

автор: Surya B

Jan 11, 2020

Excellent course. The instructor is able to teach difficult concepts in a very simple way which make them very easy to understand. Enjoyed the programming assignments. Looking forward to any course Andrew Ng might teach in the future.

автор: Daniel G

Mar 16, 2018

My only constructive criticism is: more difficult homework, or more homework in general. The programming assignments seem very important for internalizing concepts, and this course covers a lot of material in a short period of time.

автор: Aliaksandr S

Oct 22, 2018

Excellent material; though VERY dense. Notebooks still have some issues, but forums are really helpful. I feel that first 3 courses were much better prepared; though CNNs/RNNs are still super-useful despite not being 100% polished.

автор: Junliang Z

Oct 17, 2018

Really funny section about sequence model with interesting examples, helping me to understand how to learn the pattern of sequence data and transfer it to useful information. arouse my curiosity about other application in this area

автор: Sundar S

Sep 13, 2018

Amazing set of courses. Learned a ton of information that I will directly use at my current work and beyond. And Andrew is a fantastic teacher that really engages with his students (despite this being an on-demand online course).

автор: Meer H A

Jun 02, 2019

Thank you Andrew! Learned great things from this deep learning specialization course. The knowledge and certification I gained will help long way, in shaping my career. Thanks once again to the creators of this wonderful course :)

автор: Sergio B S

Sep 14, 2018

The first week of this course is maybe the most harder week of all the Deep Learning Specialization. But, with Sequence Models I have understand infinite better the great possibilities of this techniques for improving the world.

автор: George Z

Sep 29, 2019

Amazing course and what a finish line. I only with the graded assignments are revisited as few of them have bugs in them. Also I hope the Word2Vec algorithm and word embedding in general is explained better and with exact steps.

автор: Sam D

Feb 25, 2019

Awesome course and specialization. Now, to implement everything I learned in my own programs, and of course I will be sure to revisit the videos until everything becomes second nature. Learn, program, improve and repeat. Thanks!

автор: Rahi A

Jan 09, 2020

I have many of books and blogs related to RNN, but was not clear and confident about it. And after studying only the first week video and lectures, I am so confident and happy that cant tell you!!! Thank you so much Andrew...;)

автор: leonardo d

Dec 05, 2019

It seems like there are several and very useful RNN models. Many of them are very good at specific tasks, and if you take this course you will be abe to understand and implement many of them. It was a really amazing experience.

автор: Sandeep P

Jun 27, 2018

An excellent introduction to the theory and practice on recurrent deep neural networks. Great usage of all the 4 courses in this series to culminate with this course as a great finish to deep learning theory and implementation.

автор: Rafael E

Feb 11, 2018

Yet another amazing class! I'm so grateful for the existence of these classes. It makes mastering deep learning very much easier. My thanks to Andrew, and all others who have worked so hard to make this course possible! :-)