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Kursteilnehmer-Bewertung und -Feedback für Sequence Models von deeplearning.ai

4.8
Sterne
24,427 Bewertungen
2,858 Bewertungen

Über den Kurs

This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others. You will: - Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs. - Be able to apply sequence models to natural language problems, including text synthesis. - Be able to apply sequence models to audio applications, including speech recognition and music synthesis. This is the fifth and final course of the Deep Learning Specialization. deeplearning.ai is also partnering with the NVIDIA Deep Learning Institute (DLI) in Course 5, Sequence Models, to provide a programming assignment on Machine Translation with deep learning. You will have the opportunity to build a deep learning project with cutting-edge, industry-relevant content....

Top-Bewertungen

WK

Mar 14, 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 30, 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.

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2401 - 2425 von 2,833 Bewertungen für Sequence Models

von Sudhir K

Dec 23, 2019

Course was very good and I learned a lot. I think assignments can be more open ended to encourage students to try multiple ideas.

von Vaibhav C

Feb 20, 2018

Assignments were confusing in when they seemed to work but graded wrong and sometimes they were graded correct but didn't work.

von 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.

von Alisa K

Feb 08, 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.

von 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.

von Vanja T

Feb 18, 2018

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

von Amit R B

Jan 28, 2020

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

von Siddharth

May 27, 2020

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

von 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!

von Marijan S

Apr 09, 2020

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

von vamsi v

Oct 06, 2019

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

von Himanshu A

Sep 28, 2018

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

Very comprehensible for intermediates and even beginners in ML.

von 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.

von 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

von Anand S

May 07, 2020

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

von Marcin K

Sep 30, 2019

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

von Naveen K m

Jul 07, 2019

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

von 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.

von Paulo S

Mar 09, 2018

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

von Jérémy M

Jun 06, 2020

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

von 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

von Li P Z

Jan 03, 2020

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

von 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.

von Václav R

Aug 05, 2019

Nice intro in recurrent neural networks.

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

von 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.