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

4.8
31,178 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

NM

Feb 20, 2018

Hope can elaborate the backpropagation of RNN much more. BP through time is a bit tricky though we do not need to think about it during implementation using most of existing deep learning frameworks.

EM

Jun 12, 2019

A really joyful introduction in the Sequence Models, such as RNNs, LSTM etc. Sometimes the assignments got a little hard and with patience and help from forums, it gets achievable! Thanks again! :D

筛选依据:

1476 - Sequence Models 的 1500 个评论(共 3,832 个)

创建者 Karan S

Jul 26, 2024

Most amazing course on one of the complex topics in computer science

创建者 sdogijoijweofij

Mar 18, 2024

great course, decent notes and gonna take nlp specialization course.

创建者 Tuan D

Feb 28, 2023

It is amazing course for me to improve my knowdlege in Deep Learning

创建者 Hank L

Nov 30, 2022

The courses explained the key concept in the easy way to understand.

创建者 Min-gyu J

Feb 14, 2021

A good introduction to ML for a novice. The course really helped me.

创建者 Eduardo H

Dec 29, 2020

It's the hardest course off all the specializaton but it is worth it

创建者 VIJAYARAGHAVAN V

Jun 14, 2020

Excellent course, I have learned lot. It's very useful for my career

创建者 Piyush K B

Apr 15, 2020

This course has boosted my motivation for working on Sequence Models

创建者 Iris j M

Jul 1, 2019

Thanks again to Professor Ng. Super interesting courses. Appreciated

创建者 Zhaiyu C

Jan 25, 2019

A bit harder than previous courses. Pretty well organized as always.

创建者 Jeffrey V V

Jan 14, 2019

I learned a lot about how to put together recurrent neural networks.

创建者 sunaram p

Feb 7, 2018

A very good intro to NLP/Speech Recognition with Deep Learning (RNN)

创建者 J L

Sep 6, 2022

Thanks to Andrew for his heartfelt teaching,I have benefited a lot.

创建者 Shaswata D

Jun 1, 2020

Good course for understanding and building rnn for sequential data.

创建者 Nazmus S

Aug 15, 2019

iPython Notebook kept crushing which was a disappointing experience

创建者 Mark L H

May 10, 2018

Nice mix of simple and complext concept plus good exposure to Keras

创建者 David B

Mar 12, 2018

Thanks a lot. That was a very good introduction to sequence models.

创建者 car s

Feb 23, 2018

Great lecturer. Best explanations to GRU and LSTM I have even seen.

创建者 Fabio P

Feb 23, 2025

Good and well organized introduction to the topic of Deep Learning

创建者 Justin H

Jun 11, 2023

Insane! Not only has the gradients exploded. my head as well...

创建者 Egor F

Jan 18, 2023

Very insightful even if you're already an experienced ML engineer.

创建者 Julio A

Apr 17, 2022

A great course and very much what you would expect from Andrew Ng.

创建者 Francesco F

Feb 12, 2022

Great Course: Solid Theoretical Approach, Representative Exercises

创建者 Nghĩa P

Jan 1, 2022

Hard course but fruitful thanks Coursera for giving me opportunity

创建者 Abdulrezzak Z

Jan 20, 2021

One of the most interesting and useful courses I've ever attended.