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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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76 — 100 de {totalReviews} Avaliações para o Sequence Models

por Vladimir L

Jan 05, 2019

This is a great course, it gave me a good overview of how various types of data (written text, speech, images/video) are used in neural network models. The course materials smartly omit complexities behind pre-built deep learning models, and provide students with hands-on examples, which spark creativity and imagination. Thank you!

por Juandiego M

Jan 05, 2019

Another fantastic class by Andrew Ng! I learned a lot in this class, and in the Deep Learning Specialization in general.

por Yusri D H

Jan 06, 2019

The course is very fun and clear.

por Tian Q

Jan 06, 2019

Great content! Andrew's lectures are great as always. The assignments are absolutely exciting and fun. Obviously the team put a tremendous effort on the programming exercises to make them doable for laymen yet not trivial. The exercises avoid using libraries (like Keras and TensorFlow) at the very beginning. Instead, they started with the more basic Numpy implementations. After these practice, I am able to grasp what each layer is actually doing.

My only suggestion is to correct some trivial typos in the Notebook.

por Babu, C

Jan 07, 2019

Can't get better than this in academic world! Outstanding practical examples given. Very happy to be hands on this course

por Rahul D K

Jan 08, 2019

Very helpful course

por Nishant S

Jan 09, 2019

Great course. Andrew is the best teacher ever!

por Alejandro R

Jan 09, 2019

This course was a great introduction to the world of RNNs. Starting from basic sequence models all the way through RNNs constructed with Convolutional layers, LTSM layers, GRU layers and wrapping up with the Attention Algorithm. It is great base work to start a Deep Learning career. The course is very well structured and the resources in the forums were always life-saving. Very grateful for this course and I am waiting for the Advanced Specialization from Deeplearning.ai

por Zongyu Z

Jan 11, 2019

Lots of materials and excellent case studies!

por Siddharth B

Jan 11, 2019

I am grateful to Professor Andrew Ng. and the entire team of deeplearning.ai for giving me the platform to learn, practice and showcase the deep learning concepts in such an elegant and concise manner. The journey has truly been educative and enlightening and I look forward to applying the concepts and skills in my further endeavors.

por Daniel M M

Jan 10, 2019

Extremely clear and useful. Natural Language Processing, Speech Recognition and Automatic Translation are now concepts much more clearer and close for me.

por Prasanta G

Jan 11, 2019

The excercise gave very little room to learn and everything was mostly spoon fed

por SUHAIL H

Jan 12, 2019

Thanks!!! i owe you a lot Prof Ng. Thanks again

por samiran

Jan 12, 2019

Great course by Andrew Ng! The man is a legend.

por Santiago I C

Feb 21, 2019

Perfecto complemento al resto del cursos de la serie.

por Dennis Y

Feb 20, 2019

Thanks Ng

por 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.

por Sharath G

Feb 22, 2019

Deep learning specialization is one of the best courses I've ever done. When I used to work on Computervision prior to this course, I used to stumble a lot conceptually and in implementation. This specialization gave me a pragmatic insight into the DL. Can't thank coursera, deeplearning.ai and instructors anymore. :)

por xuezhibo

Feb 20, 2019

The last course is a little bit more difficult than the previous! Although I majored in Civil Engineering and got my Master's degree in 2018, since I finished the Machine Learning class of Ng 2 months ago,I found this art is so charming and powerful ,so I continued to finish the CS229, That is also a wonderful course!! And today,this DL course was also completed, now I am attending the CS231N class~ Thank you Ng ,thank u cousera, because of you,I have a chance to attend those amazing course from the most famous university. Ng,thanks,you are doing a great thing,thank u!!

por Fabian A R G

Feb 21, 2019

Well organized, concepts are explained clearly. Fun assignments. I felt this one was the toughest, but that made it more interesting.

por Wei L

Feb 12, 2019

Thank you!! Very much appreciated!

por Jefferson D R C

Feb 11, 2019

Very Good

por 张明

Feb 11, 2019

无法打开编程作业

por Fernaldy A F

Feb 24, 2019

Great course.. Thank you for providing it

por Paul D

Feb 23, 2019

As someone who loves NLP, this course was great. Would recommend to others.