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學生對 deeplearning.ai 提供的 序列模型 的評價和反饋

4.8
27,354 個評分
3,266 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

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.

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!

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2851 - 序列模型 的 2875 個評論(共 3,263 個)

創建者 Hector M

2018年2月19日

There were a couple of problems with the grader that made this course less enjoyable.

創建者 Javier L P

2020年4月17日

Missing the notes in between the videos like in the Intro to Machine Learning course

創建者 Keith L

2018年9月12日

some of the auto graders were a bit buggy, but overall loved the course and material

創建者 bangdasun

2018年2月19日

Nice content. Spend some time on homework since I'm not very familiar with keras.

創建者 Yu L

2020年5月21日

coding style is out-of-date. Could the TA update the coding homework regularly?

創建者 Boyu L

2018年3月15日

I wish there was a more thorough tutorial on the Keras programming environment.

創建者 Saurabh

2018年2月11日

Another awesome course. But I feel Word Embeddings part could have been better.

創建者 Moustapha M A

2018年3月14日

A very good course in terms of application , again Dr. Ng did an excellent job

創建者 Umair

2020年11月27日

This is amazing course with much more interesting labs and practical examples

創建者 Kevin H

2019年3月8日

The course is great but I was hoping to have a part about time series inside.

創建者 Ernesto G d l P

2021年4月24日

Few bugs with some jupyter notebook assignments, otherwise ... great course!

創建者 Henry L

2020年12月27日

It's pretty difficult for me, but I learn a lot of knowledge in this course.

創建者 Keith J

2020年7月27日

Great Course on giving an Introduction to RNN and basic NLP architectures !!

創建者 Yogesh J

2020年5月26日

Please allow students to complete assignment from scratch. Without any help.

創建者 venkata k S

2019年6月28日

A lot of spoonfeeding. Stuck at optional exercises and a lot of wasted time.

創建者 Philippe T

2018年10月29日

More exemple than Only NLP would have been nice ! But overall a great course

創建者 Emanuel V

2018年4月2日

This is a good course. However, this topic deserves much more detailed work.

創建者 Andrea C

2021年8月29日

The most difficult of the series. Yet I enjoyed learning so many new things

創建者 J V

2020年4月24日

Great Content with real-time example looking forward to doing more courses

創建者 Andrius T

2019年11月2日

Please remove repetitions from videos, really annoying thing. Great job :)

創建者 Luca C

2019年10月13日

Awesome notebooks to gain practical experience with deep learning systems.

創建者 Philippe A

2018年10月21日

This course is very interesting! Again! It requires basic Keras knowlegde.

創建者 EZ

2018年2月18日

Course is excellent. Assignment, however, could use some more refinement.

創建者 Attili S

2020年8月12日

It would be good to extend some more detailed explanation in this course

創建者 Sebastian M

2019年4月7日

need some reviewing in the optional parts of the programming assignments