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学生对 deeplearning.ai 提供的 Sequence Models 的评价和反馈

4.8
17,657 个评分
1,926 个审阅

课程概述

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....

热门审阅

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.

筛选依据:

26 - Sequence Models 的 50 个评论(共 1,902 个)

创建者 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.

创建者 宇翔 蔡

Mar 06, 2018

there are a lot of mistakes in programming assignments.

创建者 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.

创建者 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

创建者 AlainH

Feb 05, 2018

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

创建者 Kiran M

Feb 16, 2018

This course felt rushed. Especially, the programming assignments, which had many errors and were frustrating at time. It is still worth it since the content is really good -- only if you are willing to go through the frustration during the programming exercises.

创建者 chao z

Feb 22, 2018

If it could improve assignment accuracy, it will be better

创建者 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.

创建者 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.

创建者 Yanzeng L

Feb 17, 2019

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

创建者 Tom

Sep 04, 2018

Videos are okay, but exercise is just debuging!

创建者 Steffen R

Feb 04, 2018

super unorganized!

really really bad

创建者 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.

创建者 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!

创建者 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! :)

创建者 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.

创建者 Nicolas B

Nov 19, 2018

Excellent course!

创建者 Ndirangu N w

Dec 03, 2018

loved the explanation and detailed assignments

创建者 Rithesh S

Dec 03, 2018

Good course on sequence models. Nice programming examples

创建者 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.

创建者 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!

创建者 贾平平

Dec 05, 2018

thank you for your effort ng~

创建者 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.

创建者 David P

Dec 19, 2018

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

创建者 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.