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学生对 deeplearning.ai 提供的 Sequence Models 的评价和反馈

4.8
26,174 个评分
3,088 条评论

课程概述

In the fifth course of the Deep Learning Specialization, you will become familiar with NLP models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and more that have become possible with the evolution of sequence algorithms thanks to deep learning. By the end, you will be able to build and train Recurrent Neural Networks 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. DeepLearning.AI is proud to partner with NVIDIA Deep Learning Institute (DLI) to provide a programming assignment on Machine Translation with Deep Learning. Get an opportunity to build a deep learning project with leading-edge techniques using industry-relevant use cases. The Deep Learning Specialization is our 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 gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

热门审阅

WK
Mar 13, 2018

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
Oct 29, 2018

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.

筛选依据:

2626 - Sequence Models 的 2650 个评论(共 3,059 个)

创建者 Lin Y

Mar 14, 2018

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

创建者 Andrey S

Feb 20, 2018

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

The course also has issues with submitting last assignment.

创建者 NIKHLESH P

Aug 17, 2020

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

创建者 Sachin k

Jul 8, 2019

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

创建者 Tianpei X

Feb 13, 2018

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

创建者 Cameron W

Sep 16, 2019

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

创建者 Pengfei J

Feb 22, 2018

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

创建者 Andres F O J

Aug 29, 2020

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

创建者 Claus E

Apr 29, 2020

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

创建者 Adam

Apr 11, 2020

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

创建者 Jan Z

Feb 23, 2018

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

创建者 Abdoulaye D

Jun 14, 2020

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

创建者 Paulami D

Mar 12, 2018

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

创建者 S A

Jul 2, 2018

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

创建者 Aleksandar B

May 20, 2018

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

创建者 Kiran S

Feb 4, 2019

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

创建者 Brandon C

Dec 11, 2018

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

创建者 Paul H C

Nov 19, 2018

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

创建者 Sharon M

Sep 19, 2019

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

创建者 Jorge L G

Jan 29, 2019

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

创建者 Fabrizio B

Jun 4, 2020

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

创建者 Zhiliang W

Jan 25, 2019

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

创建者 Yixuan Z

Aug 24, 2020

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

创建者 Zhao C

Apr 19, 2019

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

创建者 Amiya M

Oct 21, 2018

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