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Comentários e feedback de alunos de Sequence Models da instituição deeplearning.ai

4.8
estrelas
25,826 classificações
3,040 avaliações

Sobre o curso

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....

Melhores avaliações

AM
30 de Jun de 2019

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
13 de Mar de 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!

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2551 — 2575 de 3,013 Avaliações para o Sequence Models

por Nisar S

18 de Mar de 2018

Found it a bit harder to follow along. I believe this topic needs a more indepth treatment and possibly more time (4 weeks at least).

por Niklas V

20 de Nov de 2018

Really good course, but the audio quality (repetitions, periods of silence etc) was decreasing over the course of the specialization

por Allan C M

18 de Abr de 2018

The exercises are somewhat tough for this exercise I think the time should be extended by one week extra to complete the assignment.

por Jinfeng X

29 de Nov de 2019

The material is great. On the other hand, if we could get a lecture on Keras, it would help us work on the programming assignments.

por Marvin J A

7 de Mar de 2020

Besides some technical difficulties in the notebook (and some minor details in the video quality) the course was very informative!

por Alexander T

2 de Jan de 2019

Overall well executed course and sequence. You'll pick up RNN essentials and use Keras/Tensorflow to work through simple examples.

por raghuveer n

18 de Fev de 2018

Video editing is bad and assignments have lots of inconsistent wording and bugs, apart from that knowledge wise really good course

por Sudhir K

23 de Dez de 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.

por Vaibhav C

20 de Fev de 2018

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

por GOURAB G R

16 de Fev de 2018

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

por Alisa K

7 de Fev de 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.

por Samuel W

24 de Ago de 2018

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

por Vanja T

18 de Fev de 2018

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

por Amit R B

28 de Jan de 2020

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

por Siddharth

27 de Mai de 2020

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

por Joachim A

21 de Dez de 2018

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

por Marijan S

9 de Abr de 2020

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

por vamsi v

6 de Out de 2019

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

por Himanshu A

28 de Set de 2018

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

Very comprehensible for intermediates and even beginners in ML.

por Qiang C

26 de Fev de 2018

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

por Anxo T A

22 de Nov de 2020

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

por Holman B

15 de Mar de 2019

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

por Anand S

7 de Mai de 2020

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

por Marcin K

30 de Set de 2019

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

por Naveen K m

7 de Jul de 2019

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