Chevron Left
返回到 Sequence Models

學生對 提供的 Sequence Models 的評價和反饋

26,603 個評分
3,146 條評論


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....



I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!


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.


2676 - Sequence Models 的 2700 個評論(共 3,117 個)

創建者 Tianpei X


Great course ! However, there are several errors in the project assignments and it has been delayed for two months.

創建者 Cameron W


I felt like important concepts were glossed over far more in this course than previous courses in this curriculum.

創建者 Pengfei J


The update and correction of error should be more effectively and actively managed. That's the only error so far.

創建者 Andres F O J


The assignments should be after each topic or lecture because in the end is difficult to enhance the knowledge.

創建者 Claus E


Good course, but the errors in the last exercise was annoying and I missed a bit more about speech recognition.

創建者 Adam


Only complaint is that the exercises are too easy when all answers are practically given in the hints section.

創建者 Jan Z


Interesting topics but some fairly frustrating assignments. Happy to get a better understanding of NLP though!

創建者 Abdoulaye D


Super excited to finish this course. I've tone of questions not answered in forums I'm still waiting answers.

創建者 Paulami D


This was the toughest one of the 5. Great learning, but may be it could've been made a tad bit more intuitive

創建者 S A


The quiz section needs to improve. It would be helpful that notes be also given as an outline of the ppts.

創建者 Aleksandar B


A bit too much material without going in depth anywhere. Also, code-grader sometimes behaves very strange

創建者 Kiran S


Some inconsistencies with the HW level (week 2 basically told you what to write) but very good lectures.

創建者 Brandon C


Keras exercises tough to get through based on provided information, but the content was superb as always

創建者 Paul H C


Really good course. Exercises are not always connected to the core of the deep learning problem though..

創建者 Sharon M


The course is great , in the assignments it is better to stick to single package and TF is preferable.

創建者 Jorge L G


Highly recommended course to understand the concept of speech recognition models, very real use cases.

創建者 Fabrizio B


Very good course. Only, sometimes a bit more cryptic respect to the other ones in the specialization

創建者 Zhiliang W


Great lectures. The quality of exercises are also amazing, although some typos should be fixed asap.

創建者 Yixuan Z


Some concepts need to be explained more detailed, otherwise I feel hard to keep up with the lecture

創建者 Zhao C


Great class. However, they are some typos/mistakes in the explanations of programming assignments.

創建者 Amiya M


learned a lot but I wish their should be some sort of referencing material for further exploration

創建者 Alex R


Lecture content is pretty good. Exercises are much more finicky (less robust) than prior courses.

創建者 MD Q A


more excercise should be there in last course, but overall content was very good

thanks Andrew ng

創建者 M S S


The Attention model still needs more explanation. I haven't completely grasped attention models

創建者 Jon-pierre H


More errors than most in the projects. Likely due to the rush of getting this final course out