Chevron Left
Voltar para Sequence Models

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

4.8
17,747 classificações
1,929 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

Jul 01, 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.

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.

Filtrar por:

301 — 325 de {totalReviews} Avaliações para o Sequence Models

por Himanshu B

Jul 19, 2018

This was just like a cherry on top of cake. This is highly recommended for the deep learning and machine learning enthusiasts. Content and quality of course material is beyond perfect.

por Javier G

Jul 20, 2018

Recommended 100%

por Erick M M

Jul 19, 2018

Awesome :D

por SaiTej D

Jul 20, 2018

super awesome course, loved it

por Juan P V H

Jul 21, 2018

Excellent Course.!! Thank you for all.!!

por Christian C U L

Jul 23, 2018

Excellent course

por Varun V P

Jul 23, 2018

excellent course on sequence models and rnn . good explanations on rnn architectures. good mix of theory and applications.

por Vincent L

Jul 23, 2018

Fantastic introduction to Deep Learning. Super fun!!! Andrew Ng is THE man!

por Mehran M

Jul 22, 2018

This was, in my opinion, the best of the 5 courses. Actually, here's how I'd rank the courses (from best to worse):

5, 1, 2, 3, 4

I learned a lot about sequence models and half-way through the course, I was able to jump right in and try some ideas I had in PyTorch.

The assignments could use a bit more work: I didn't really feel inspired by them and their "fill in the blank" style prevented me from thinking too hard.

All in all, I highly recommend this entire specialization. I was completely clueless about deep learning at the beginning, but now I'm actually trying out some novel ideas!

Thanks so much Andrew and the team.

por YEE S N

Jul 22, 2018

Nothing short of awesome!

por Krzysztof O

Sep 02, 2018

Thank you Andrew for this magnificent course and specialization.

por shenzhonghua

Sep 03, 2018

Great

por Александр

Sep 02, 2018

Great course, though not as awesome as other Ng's courses. I think creators became a bit tired closer to the last course in specialization. Anyway, fantastic courses, fantastic specialization, fantastic professor! Thank you very much!! Looking forward to new courses - maybe Reinforcement Learning, GANs? =)

por Fang Y

Sep 03, 2018

五星好评,一次奇妙的旅行。

por Ashley C

Aug 23, 2018

Good explanations and examples. Maybe should add more development into exercises.

por Najeeb K

Aug 24, 2018

I had struggled with the complexity of Sequence Models ever since I started learning about Machine Learning models. This course gave me an easier intuition to the sequence models without dwelling too deep into the mathematical complexities. As a person who has very little experience with Linear Algebra this helped me a lot to understand and apply such architectures to solve problem. Thanks Prof Andrew and the team! :)

por Daniel K

Sep 05, 2018

Amazing course!

por Guy M

Sep 05, 2018

Great introduction to sequence models/RNNs. The real-world examples were very illuminating. Again, as with the previous course in the specialization, I felt some details of how to run/predict NNs using keras were lacking, which could leave a student floundering if they've never used keras before. This is in contrast to some other, much easier, tasks where hints were given.

por TATSUYA T

Aug 26, 2018

RNN model was quite difficult for me to learn, but all these lecture videos and programming assignments helped me understand it better. I liked the "Trigger word detection" (the last assignment of this course) very much.

por Edir G

Aug 27, 2018

This is the best course on the deep learning specialization. You learn the most novel and useful deep nets.

por Bibin K S

Sep 08, 2018

Great ride . Gives immense boost to the deep learning knowledge out there . Need to start building up from this level

por Andrew B

Sep 08, 2018

Quick course on Sequential models. Assignments are set up pretty well.

por Sayar B

Sep 08, 2018

A perfect ending to the specialization, this one is for all you NLP enthusiasts.

por YOLOV3

Aug 28, 2018

Thanks!

por Vinay A

Aug 27, 2018

Good.