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學生對 提供的 序列模型 的評價和反饋

27,357 個評分
3,266 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....



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.


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!


3151 - 序列模型 的 3175 個評論(共 3,265 個)

創建者 Shengyu H


Contents are way too easy and the video recordings are often a bit broken (repetition, blank audio, etc.)

創建者 Alexander B


incredibly boring. I mean at some task you literally asked to type in "= False" instead "= None". Really?

創建者 Jinxi W


There are some mistakes need to be correct in the assignments. Still a lot of improvements can be made.

創建者 Yao G


The assignments should be improved. More prep on Keras will help improve the efficiency of learning.

創建者 Kabakov B


The practical tasks is bad. You are simply needed to rewrite formulas to python most of the time.

創建者 Benoit D F


Very interesting topic but coding exercices and quizzes were a bit clunky and in need for ironing

創建者 Andrei M


The content is super interesting, but the assignments are more of the same 'fill in the blank'.

創建者 Lars O A


Put to much focus into getting the Keras code to work instead of truly learning the algorithms.

創建者 Nagaraj R


I found this very hard to follow along. The concepts were too heavy and needs a slower pace.

創建者 Anmol D


Theory explained in a better way, but practicals could have been more involved and better.

創建者 Sidharth S


Really Nice course. Could have been more fun if Keras and it's functioning had more focus.

創建者 Uttam R


Course is got but grader compilations are horrible spent more time on them than the course

創建者 Iván G


Not as good as structured in explanation nor in programming assigments as the last ones.

創建者 Mohsin J


This is only good enough, not good course. All previous ones were 5 stars, definitely!

創建者 Thomas P


Overall a great class. I had some trouble understanding the programming assignments.

創建者 Archana A


This felt the the least prepared and organized course of the series, unfortunately.

創建者 Sébastien C


Good theoretical overview - project just require you to fill in lines of code

創建者 Samit H


I found this course boring and also too many assignments in a single week.

創建者 Tushar B


Issues with assignments. Took more than 4 hours to figure out the problem.

創建者 Saeif A


This was the least clear course among the others. The others were great!

創建者 Ragav S


Would like to learn a bit on how back-prop works when using attention.

創建者 Gaetan J d B


fairly more complex and deeper as previous courses. Nice ex. however.

創建者 Yun W


I feel this course is not as carefully designed as previous courses

創建者 mayukh m


Trigger word detection - v1.ipynb bug is annoying. Course is good.

創建者 yuichi k