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

4.8
26,455 个评分
3,120 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 3,091 个)

创建者 GOURAB G R

Feb 16, 2018

Some programming assignments have few errors in them (wrong equations, wrong expected output etc.) which need to be corrected.

创建者 Alisa K

Feb 7, 2018

This course is very useful!!! I want to give you 5 stars but there are a lot of bugs on your practice course. Please check it.

创建者 Samuel W

Aug 24, 2018

Great course. My only complaint is about the assignments. The weren't as polished as in other courses in this specialization.

创建者 Vanja T

Feb 18, 2018

There were some puzzling parts to the programming assignments (number of trainable parameters), but overall very good course.

创建者 Amit R B

Jan 28, 2020

Excellent course overall, but the programming assignments left me feeling a it unprepared considering the previous lectures.

创建者 Siddharth

May 27, 2020

Very nicely explained and grateful for that. However, The assignements are little hard to follow from the previous courses.

创建者 Joachim A

Dec 21, 2018

I am grateful for this course, it literally is redefining my career and what I want to do. Thanks for the excellent course!

创建者 Marijan S

Apr 9, 2020

Some excercizes were subpar, and some were not interesting, but all in all very good course in which one can learn so much

创建者 vamsi v

Oct 6, 2019

assignments were good if there is any direct interaction, taking input from the writer itself will be too much excitement.

创建者 Himanshu A

Sep 28, 2018

Good introduction to RNNs, text/music generation, NLP etc.

Very comprehensible for intermediates and even beginners in ML.

创建者 Qiang C

Feb 26, 2018

The low-level framework, such as torch, should be used in the assignment. keras is complicated to understand for newbie.

创建者 Anxo T A

Nov 22, 2020

Great course, specially the programming assignments, they help much mor than the videos to undertand the core concepts.

创建者 Holman B

Mar 15, 2019

Had some issues related with the jupyter notebook. Sometimes I had to restart the kernel to get the keras model working

创建者 Anand S

May 7, 2020

I think a totally different course for NLP & CNN neeeds to be rolled out including their implementation in tensorflow.

创建者 Marcin K

Sep 30, 2019

Last notebook causing server problems. Large amount of material (theory) covered by compressed programming excercises.

创建者 Naveen K m

Jul 7, 2019

Great course content and well explained by Andrew, looking forward to apply the learning to solve real world problems.

创建者 Agustín D

Apr 10, 2018

Some items on the assignments were confusing or misleading. But the content of the course was rich and well explained.

创建者 Paulo S

Mar 8, 2018

Excellent course. It would be better, however, if I could easily download the course slides and notes for quick recap.

创建者 Jérémy M

Jun 6, 2020

Really nice course but some programmation exercises isn't well built. (Compared to the other courses of this section)

创建者 Niranjan K

Apr 28, 2020

Week 3 last assignment must be improved.I faced a lot of problems related to submission.All other aspects are amazing

创建者 Li P Z

Jan 2, 2020

Excellent as usual, but not quite up to the usual standards, I felt some of the lectures and exercises were rushed...

创建者 vincent p

Oct 16, 2019

Cool exercises and good explanation, just too much focus on text mining and too little on actual RNN's if you ask me.

创建者 Václav R

Aug 5, 2019

Nice intro in recurrent neural networks.

I'd prefer more focus on why the architectures are designed the way they are.

创建者 Scott R

Mar 16, 2018

I would have liked to have had an assignment covering beam search but overall it was excellent introduction to RNNs.

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.