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

4.8
estrelas
23,720 classificações
2,753 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

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.

JY

Oct 30, 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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301 — 325 de 2,727 Avaliações para o Sequence Models

por 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.

por 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.

por 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!

por Tashreef M

May 19, 2020

I think considering the other courses, Sequence Model course was a little bit faster and it covered a lot of topics, so it was a little tough to keep up. But what I learnt was quite a lot and I think it is is quit a very good course indeed.

por Pedro H

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.

por 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

por 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!

por 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.

por Nguyen M H

Jul 30, 2020

This course give me opportunities to dive in to RNN and other architectures relating to NLP. Although it is a little bit tougher than 4 previous courses (in this specialization), it provides several interesting applications in real life.

por 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.

por 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.

por 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!

por 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.

por Martín C

Jun 07, 2020

¡Excelente curso! Llegar hasta acá haciendo la especialización vale el esfuerzo. Andrew Ng como siempre un gran maestro.

Excellent course! Getting here doing the specialization is worth the effort. Andrew Ng as always a great teacher.

por 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.

por 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.

por 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

por 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).

por AKSHAY K C

Mar 21, 2020

The course was very well structured from the basics of RNN progressing slowly towards LSTM, GRU, word embedding and attention model finally. Kudos to the instructor and the team for providing such a good course on sequence models.

por 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 :)

por Carlos A C G

Jun 11, 2020

Amazing job once again by Andrew and his team. The world needs much more of this! Specially more implementations that can be put into use easily in real-life apps and projects. Now we know the theory, we can put it into practice.

por ongole s s

May 27, 2020

I have learnt a lot from this course and it is very interesting to be part of this course as i understood the concepts of NLP in deep learning which is the most fascinating technology to learn and implement in real world problems

por 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.

por Shashti K N M

Jun 08, 2020

The Course was Excellent. Sir's teaching was Excellent. I understood the techniques of Sequence Models and Natural Language Processing. The Programming Assignments were Excellent. The Deep Learning Specialization was Excellent.

por 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.