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學生對 deeplearning.ai 提供的 序列模型 的評價和反饋

4.8
27,234 個評分
3,246 條評論

課程概述

In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. By the end, you will be able to build and train Recurrent Neural Networks (RNNs) and commonly-used variants such as GRUs and LSTMs; apply RNNs to Character-level Language Modeling; gain experience with natural language processing and Word Embeddings; and use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering. The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career....

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JY
2018年10月29日

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
2019年6月30日

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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3101 - 序列模型 的 3125 個評論(共 3,242 個)

創建者 Prut S

2021年8月15日

The lectures were great, but the programming assignments could have been structured better, especially the final assignment which drove me nuts.

創建者 Assa E

2021年2月10日

That was much harder than the previous courses of the specialization. However it felt like the videos are more hasty and less understoodable

創建者 Leandro A

2018年3月18日

There was a bug in a programming assignment notebook that took too much time to notice that i was doing ok but the expected ouptut was wrong

創建者 David H P

2018年4月2日

The programming assignments required some extra effort to understand Keras which I thought may need an introduction video like tensorflow.

創建者 Iván V P

2018年2月18日

Several grader issues, only 3 weeks of work, and a lot of errors in the solutions... In addition, less content than in the other courses...

創建者 Rishabh G

2020年9月19日

The earlier courses were easy to understand, however, this was way too difficult. Andrew Ng did not make this easy like the other courses.

創建者 H Y

2018年8月24日

Compared with previous courses, this one seems to be rushed. The focus on applications seems to be much higher than the theoretic side.

創建者 Yash R S

2018年5月9日

Not as great as the other courses in the specialisation. The assignments can be a little off putting, but lectures are top class again.

創建者 Roberto S

2020年5月12日

Week 1 took double time to be completed. Times proposed for the assingnement are underestimated.

Please readjust the assingement time.

創建者 Ankit S

2018年7月17日

Assignments are not up t the mark.. Expected to have high vocabulary size word embedding assignment, Machine Translation assignments

創建者 Nachiketa M

2018年2月16日

This course was good but in comparison to the other courses in the deeplearning course series, this course lacked adequate depth.

創建者 1140325971

2020年1月23日

The course is a good course because the lecture Ng.W ,but the exercises is not easy for our beginers for such tools like kears.

創建者 Seng P T P P

2019年11月8日

The programming assignments in this course are difficult to implement. The detail descriptions are needed inside the notebooks.

創建者 Thomas N

2018年3月9日

Good subject, but a lot of the course material (like lecture slides and problem sets) was either unavailable or out of date.

創建者 Vinjosh V

2020年5月11日

The videos are great - however it would be useful to provide some help on how to implement the concepts programatically.

創建者 shreya g

2021年10月1日

The assignments need better instructions and there is a huge jump in complexity when going from lectures to assignments.

創建者 Søren M

2018年2月16日

Not as good as the previous courses in the series, and some of the assignments where broken, and super hard to debug.

創建者 Laurent B

2021年1月12日

Only on NLP applications, it would have been great to apply GRU or LSTM on numerical data like finance for example.

創建者 Devansh K

2020年9月20日

The content covered is interesting, but I feel like the explanations are not as intuitive as the previous 4 courses

創建者 Sandeep P

2020年7月27日

Nice but little stressful. After completing 5 courses in a row, really feeling exhausted. Thanks for the good work.

創建者 Rudolf S

2019年7月15日

Quite a lot of bugs in the first week examples. It took me too much time until I browsed the discussion forums.

創建者 SHALEEN A

2020年10月3日

the videos are programming assignments need some serious updates, too many typos and wrong information present

創建者 Maysa M G d M

2018年6月25日

I think you have to know more keras than is explained in the course. The keras documentation it is not enough.

創建者 Raghav G

2020年7月13日

An average course, it is detailed though some of the ending materials get too difficult for me to comprehend.

創建者 Mikey K

2018年8月6日

Assignments are very buggy and instructions misleading or incomplete. However the core material is excellent