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學生對 提供的 序列模型 的評價和反饋

27,686 個評分
3,306 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 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.


2801 - 序列模型 的 2825 個評論(共 3,307 個)

創建者 Tommy S


Parts of the critical details are a little vague, but the intuition and experience provided are extremely valuable and useful for me!

創建者 Nisar S


Found it a bit harder to follow along. I believe this topic needs a more indepth treatment and possibly more time (4 weeks at least).

創建者 Niklas V


Really good course, but the audio quality (repetitions, periods of silence etc) was decreasing over the course of the specialization

創建者 Allan C M


The exercises are somewhat tough for this exercise I think the time should be extended by one week extra to complete the assignment.

創建者 Jinfeng X


The material is great. On the other hand, if we could get a lecture on Keras, it would help us work on the programming assignments.

創建者 Marvin J A


Besides some technical difficulties in the notebook (and some minor details in the video quality) the course was very informative!

創建者 Alexander T


Overall well executed course and sequence. You'll pick up RNN essentials and use Keras/Tensorflow to work through simple examples.

創建者 raghuveer n


Video editing is bad and assignments have lots of inconsistent wording and bugs, apart from that knowledge wise really good course

創建者 sudhir k


Course was very good and I learned a lot. I think assignments can be more open ended to encourage students to try multiple ideas.

創建者 Vaibhav C


Assignments were confusing in when they seemed to work but graded wrong and sometimes they were graded correct but didn't work.



Some programming assignments have few errors in them (wrong equations, wrong expected output etc.) which need to be corrected.

創建者 Alisa K


This course is very useful!!! I want to give you 5 stars but there are a lot of bugs on your practice course. Please check it.

創建者 Samuel W


Great course. My only complaint is about the assignments. The weren't as polished as in other courses in this specialization.

創建者 Vanja T


There were some puzzling parts to the programming assignments (number of trainable parameters), but overall very good course.

創建者 Mollie C


t​his course seemed glitchy compared to previous courses. some multi-answer quiz questions would only allow one answer, etc.

創建者 Amit R B


Excellent course overall, but the programming assignments left me feeling a it unprepared considering the previous lectures.

創建者 Siddharth


Very nicely explained and grateful for that. However, The assignements are little hard to follow from the previous courses.

創建者 Joachim A


I am grateful for this course, it literally is redefining my career and what I want to do. Thanks for the excellent course!

創建者 Marijan S


Some excercizes were subpar, and some were not interesting, but all in all very good course in which one can learn so much

創建者 Vamsi V


assignments were good if there is any direct interaction, taking input from the writer itself will be too much excitement.

創建者 Shubhankar K


A little much in not so much amount of time. Could have had more videos. Otherwise great course and great course material

創建者 Himanshu A


Good introduction to RNNs, text/music generation, NLP etc.

Very comprehensible for intermediates and even beginners in ML.

創建者 Qiang C


The low-level framework, such as torch, should be used in the assignment. keras is complicated to understand for newbie.

創建者 Anxo T A


Great course, specially the programming assignments, they help much mor than the videos to undertand the core concepts.

創建者 Holman B


Had some issues related with the jupyter notebook. Sometimes I had to restart the kernel to get the keras model working