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deeplearning.ai による シーケンスモデル の受講者のレビューおよびフィードバック

4.8
28,072件の評価
3,363件のレビュー

コースについて

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....

人気のレビュー

AM

2019年6月30日

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.

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.

フィルター:

シーケンスモデル: 3276 - 3300 / 3,364 レビュー

by Danilo G F R

2018年2月5日

Assigments too complicate without a necessary guide and help.

by Morgan H

2020年11月15日

Less clear instruction than other courses in specialization

by André T D S

2018年10月1日

Bugs in the programming assignments grading kills the flow

by Sri R

2020年12月7日

This course is not satisfactory than the previous courses

by Rajarshi K

2020年5月30日

This course was comparatively boring than previous 4 ones

by Santosh B

2019年2月19日

I felt the last week had too many things packed together

by Shrishty C

2018年7月6日

Was little hard to understand at times. But it was good.

by Konpat P

2018年2月16日

Not as well done as before. But, still very informative.

by Edoardo B

2019年11月15日

Doesn't teach much about keras which is sorely needed

by Rajesh R

2018年2月25日

GRUs are poorly explained. Unable to get past Week 1.

by Duberney L R

2022年7月30日

Se deben mejorar las presenaciones y los subtítulos

by Deleted A

2020年7月19日

a bit outdated due to lstm being not that s-o-a now

by karishma d

2019年6月20日

very basic ..would have wanted much advance level .

by Saumya T

2019年6月9日

Codes are not explained. Some codes files are given

by Sravan

2019年4月19日

Works as a primer. Assignments aren't that great.

by Jerry Z T

2020年8月18日

The learning embedding part is kindof confusing

by Prashath M

2020年12月29日

Excellent content

poor support from the website

by Abhishek S

2020年6月15日

Great course but has been dumbed down too much

by Yue E

2019年4月26日

Esperaba que los ejemplos fueran de otra forma

by Jazz

2019年10月10日

Should add some instruction videos of Keras

by Shanger L

2018年6月4日

does HW created/reviewed by different ones?

by Parikshit D

2018年5月27日

The assignments are not very satisfactory..

by CLAUDIO G T

2020年4月5日

Not so well explained as the other courses

by Xueying L

2018年7月22日

Too narrow focusing on applications in NLP

by Rahul T

2020年8月9日

Programming exercises was very confusing.