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

4.8
17,182 classificações
1,877 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

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.

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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26 — 50 de {totalReviews} Avaliações para o Sequence Models

por chao z

Feb 22, 2018

If it could improve assignment accuracy, it will be better

por redfoxbluefox

Apr 05, 2018

This course is by far the weakest out of the 5 course sequence. I did well in it (96.8%) but I think the programming exercises did not help build understanding of sequence models. Often I found myself just trying to get through the programming because I felt it was more an exercise in reading Keras documentation. I think you can pass this course without a solid understanding of what is going on in the sequence models. The programming exercises should be revamped to focus more on understanding what is happening in the program rather than trying to figure out Keras syntax (which is also useful, but perhaps better suited for a prep course).

por Martin C S

Jul 13, 2019

Assignments don't match the quality of the other four courses of this specialization. Automatic grading accepts solutions despite results not matching expected results. This should be fixed.

por Zhongyi T

Jun 11, 2019

Poor submission system. Failed many times to upload and had to redo the assignments. I was using a 250Mbps high speed network. Also course materials are problematic. The instructors are not willing to fix the problems for many years.

por Yanzeng L

Feb 17, 2019

There are a lot of mistakes in programming assignment. Please update and fix it

por Tom

Sep 04, 2018

Videos are okay, but exercise is just debuging!

por Steffen R

Feb 04, 2018

super unorganized!

really really bad

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 Amit B

Nov 18, 2018

Really great and fun course! (as well as this entire specialization)

I feel like I've learned and accomplished so much.

Thank you! :)

por Atsunori T

Nov 19, 2018

It was good that I was able to understand the concept of the sequence model.I would like to learn further to acquire applied skills.

por Nicolas B

Nov 19, 2018

Excellent course!

por Ndirangu N w

Dec 03, 2018

loved the explanation and detailed assignments

por Rithesh S

Dec 03, 2018

Good course on sequence models. Nice programming examples

por Nilesh K S

Dec 05, 2018

It was a great experience to learn from Andrew NG and it helped a lot to me personally and professionally. I have gained so much confidence after completing these set of 5 courses and looking forward to build some cool projects on my own using the concepts that i have learned in past 5 months.

por Thomas A

Dec 03, 2018

Kinda hard for me, because I am more involved into Structured Data and Image Processing Projects right now. But this course gave me lots of new ideas. Thank you!

por 贾平平

Dec 05, 2018

thank you for your effort ng~

por Sonal K

Dec 20, 2018

This is an awesome course to give a ample intuition about RNNs. A bit tougher than the rest of the 4 courses but indeed a good one.

por David P

Dec 19, 2018

The last programming assignment (Trigger sound) is so amazing. I have learnt many things about natural language processing.

por Jonathan L

Dec 18, 2018

Great lectures on the different structures of Sequence Models for use in Natural Language Processing, Text Translation, and Audio Recognition. There is a lot of material packed into 3 weeks, but this course will help anyone familiar with Deep Learning/CNNs to take a dive into the world of NLP and audio/speech recognition.

por Shantanu B

Dec 19, 2018

The toughest course in the deep learning specialization for me. Learnt a lot. Made me ready for further readings and consolidation of the materials.

por tianwengang

Dec 19, 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 mc.meng

Dec 20, 2018

课程非常好,我一定要把它推荐给我的朋友。

por Ayan M

Dec 19, 2018

Very good course providing excellent insight into the application of Deep Learning in NLP.

por Tomasz K

Dec 06, 2018

the best out of the 5 in the specialization.

por Michael K

Dec 06, 2018

Great course! Very informative, and delivered in a way that is easy to follow if you've taken the other courses in the specialization. Andrew has a gift for teaching.