Chevron Left
返回到 序列模型

學生對 deeplearning.ai 提供的 序列模型 的評價和反饋

4.8
27,686 個評分
3,306 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....

熱門審閱

WK

2018年3月13日

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!

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.

篩選依據:

2826 - 序列模型 的 2850 個評論(共 3,307 個)

創建者 Anand S

2020年5月7日

I think a totally different course for NLP & CNN neeeds to be rolled out including their implementation in tensorflow.

創建者 Marcin K

2019年9月30日

Last notebook causing server problems. Large amount of material (theory) covered by compressed programming excercises.

創建者 Naveen K m

2019年7月7日

Great course content and well explained by Andrew, looking forward to apply the learning to solve real world problems.

創建者 Agustín D

2018年4月10日

Some items on the assignments were confusing or misleading. But the content of the course was rich and well explained.

創建者 Paulo S

2018年3月8日

Excellent course. It would be better, however, if I could easily download the course slides and notes for quick recap.

創建者 Jérémy M

2020年6月6日

Really nice course but some programmation exercises isn't well built. (Compared to the other courses of this section)

創建者 Niranjan K

2020年4月28日

Week 3 last assignment must be improved.I faced a lot of problems related to submission.All other aspects are amazing

創建者 Li P Z

2020年1月2日

Excellent as usual, but not quite up to the usual standards, I felt some of the lectures and exercises were rushed...

創建者 vincent p

2019年10月16日

Cool exercises and good explanation, just too much focus on text mining and too little on actual RNN's if you ask me.

創建者 Václav R

2019年8月5日

Nice intro in recurrent neural networks.

I'd prefer more focus on why the architectures are designed the way they are.

創建者 Scott R

2018年3月16日

I would have liked to have had an assignment covering beam search but overall it was excellent introduction to RNNs.

創建者 Lin Y

2018年3月14日

overall it's great, but I think this course is a little bit high level on RNNs, I expected more content on GRU/LSTM.

創建者 Andrey S

2018年2月20日

Great course but it took them forever to finally open it.

The course also has issues with submitting last assignment.

創建者 Nikhlesh P

2020年8月17日

Text Processing exercises should be added. Most of the examples are from image and speech. Overall good experience.

創建者 Sachin k

2019年7月8日

Great Course. But could improve on explanation part. And could teach more about architectures such as LSTM and GRU.

創建者 Tianpei X

2018年2月13日

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

創建者 Cameron W

2019年9月16日

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

創建者 Pengfei J

2018年2月22日

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

2020年8月29日

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

創建者 Claus E

2020年4月29日

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

創建者 Adam

2020年4月11日

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

創建者 Jan Z

2018年2月23日

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

創建者 Abdoulaye D

2020年6月14日

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

2018年3月12日

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 Tung V t

2021年11月28日

the course is very comprehensive however more details about how backpropagation is done would be great !!!