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学生对 DeepLearning.AI 提供的 Sequence Models 的评价和反馈

4.8
31,102 个评分

课程概述

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....

热门审阅

MK

Mar 13, 2024

Cant express how thankful I am to Andrew Ng, literally thought me from start to finish when my school didnt touch about it, learn a lot and decided to use my knowledge and apply to real world projects

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:

3351 - Sequence Models 的 3375 个评论(共 3,818 个)

创建者 Boyu L

Mar 15, 2018

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

创建者 Saurabh

Feb 11, 2018

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

创建者 Marcantonio M A

Mar 14, 2018

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

创建者 Umair

Nov 27, 2020

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

创建者 Kevin H

Mar 8, 2019

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

创建者 Ernesto G d l P

Apr 24, 2021

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

创建者 Henry L

Dec 26, 2020

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

创建者 Keith J

Jul 27, 2020

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

创建者 Yogesh J

May 26, 2020

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

创建者 Saydee

Jun 28, 2019

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

创建者 Philippe T

Oct 28, 2018

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

创建者 Emanuel V

Apr 2, 2018

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

创建者 Huaqing M

Dec 26, 2022

The week4 on transformer is rushed and rough. Overall ,it's a good course.

创建者 Andrea C

Aug 29, 2021

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

创建者 J V

Apr 24, 2020

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

创建者 Andrius T

Nov 2, 2019

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

创建者 Luca C

Oct 13, 2019

Awesome notebooks to gain practical experience with deep learning systems.

创建者 Philippe A

Oct 21, 2018

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

创建者 Lawrence K

Jan 4, 2024

the last week on transformers was confusion both as intuition and process

创建者 EZ

Feb 18, 2018

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

创建者 Sahar N

Sep 23, 2022

It was really good, but I think I still didn't understand transformers!

创建者 Attili S

Aug 12, 2020

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

创建者 Sebastian M

Apr 7, 2019

need some reviewing in the optional parts of the programming assignments

创建者 Guan W

Mar 10, 2018

Excellent course content, but poor maintenance of programming assignment

创建者 Filip V

Feb 25, 2018

Provides good exposure to sequence models for NLP and speech processing.