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學生對 提供的 Sequence Models 的評價和反饋

17,771 個評分
1,931 個審閱


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. 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....



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.


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.


26 - Sequence Models 的 50 個評論(共 1,911 個)

創建者 chao z

Feb 22, 2018

If it could improve assignment accuracy, it will be better

創建者 Marc B

Jul 12, 2018

This one went a little fast for me, can't say that I'm confident on the shapes of tensors going through RNNs and why

創建者 AlainH

Feb 05, 2018

This course has many inconsistencies and errors in the homework. Seems like a rushed job.

創建者 Kirk P

Jul 01, 2018

The lectures were great. Andrew is a wonderful teacher, but the assignments were beyond miserable. Jupyter notebook is probably the least stable, most infuriating piece of software that I've been forced to interact with. I spent countless hours trapped, not able to perform the most basic of operations, such as saving my work or submitting. I lost work innumerable times. I, like others, eventually resorted to "saving" my work by copying it into a text editor on my system for fear of Jupyter sabotaging me. Even if the system was stable, most of the assignments were worthless as learning experiences. The majority of "programming" boiled down to playing a cryptic game of fill in the blank. Bottom line, I wouldn't recommend this class to anyone in its current state. Especially as a paid service. I really expected better quality.

創建者 Oscarzhao

Apr 02, 2018

some optional exercises are wrong, wasted a lot of time on LSTM backward propagation

創建者 Isaraparb L

Jul 26, 2018

Unfortunately considerably a subpar course compared to the other four in the specialization. Programming assignment is a mess - wrong formulas presented, nowhere near enough Keras's tutorials, etc. Every assignment is passed by browsing the forum looking for help from other people. It is unclear to the point of being annoyed (got someone in the forum cancel his subscription). However, lectures are fine and sequence models cover a wide range of areas/applications, so you can't miss it anyway.

創建者 Juan F C U

Jul 12, 2019

Many topics are only quickly skimmed over. Serves as an overly brief introduction to RNN.

創建者 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.

創建者 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.

創建者 Steffen R

Feb 04, 2018

super unorganized!

really really bad

創建者 Yanzeng L

Feb 17, 2019

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

創建者 Tom

Sep 04, 2018

Videos are okay, but exercise is just debuging!

創建者 Banipreet R

Jun 28, 2018

Professor Ng seems a little bit confused about the subject and is making unnecessary analogies rather than going deep into the algorithm and explaining the context as he did in Convolution Neural Networks course. I hope that the videos are revised and professor explains the topic more clearly rather than depicting himself to be confused as well on the topic.

創建者 Haris M

Jan 27, 2019

The Best!

創建者 Ananya R

Jan 27, 2019

Great Course, just like the rest in the specialisation! Really like the method of teaching!! Some sections of the assignment were coded before hand but would have been nice to be able to code them as well. Thanks

創建者 Constantine E

Jan 14, 2019

Excellent course!!!

The only feedback for improvement is that it took me much longer time to complete the homeworks than advertised. So probably the work estimates need to be refined.

創建者 Daniil Y

Jan 15, 2019

Amazing Course. Reccomend to everyone, who is interested in Deep Learning.

創建者 Jeffrey V V

Jan 15, 2019

I learned a lot about how to put together recurrent neural networks.

創建者 Edwin Y

Jan 16, 2019

Thank you Andrew and the team for putting together such a great learning experience.

創建者 Kirk B

Jan 17, 2019

Andrew Ng is hands down the best teacher in this space. Excellent lectures and a well run course.

創建者 Moayyad A Y

Jan 18, 2019

One of the best courses in RNNs and i have seen many.

創建者 Hussain M A

Jan 18, 2019

Its a good course to understand sequence based models.

創建者 banafsheh

Jan 18, 2019

the first week is relevant to my work, but it was great learning a bit about other topics in week2 and week 3. Thank you so much for making these videos and assignments!

創建者 Michael O

Jan 31, 2019

Very good for understanding how recurrent neural networks work. Highly recommended

創建者 Kak S

Jan 20, 2019

Great and excellent