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

4.8
18,029 classificações
1,955 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.

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401 — 425 de {totalReviews} Avaliações para o Sequence Models

por Galley D

Nov 02, 2018

Again a great course from Andrew Ng. Simplicity, clarity and fun assignments. Thanks to all the team who made this course such fun!

por Moses W W

Nov 03, 2018

This is an excellence training course! I had a wonderful experience learning the leading edge Artificial Intelligence knowledge specialized with Deep Learning and believe this will make a life-long impact to my career path!

por Tun C

Aug 28, 2018

Some of the lectures were not quite up to par with professor Ng's standard. Some of the programming assignments were hard to follow and missing some details. Nevertheless, I came away with good understanding of sequence models and RNN. I can't thank enough. 5 stars from me.

por Jair G

Aug 15, 2018

The hardest of the five courses. Recurrent NN are super useful once you get a grasp of the idea. The attention model is a remarkable model.

por Benjamin S S

Aug 16, 2018

Great course, but needs more checks for understanding during the lecture. Course would also benefit with a dedicated module on TensorFlow and/or Keras.

por Ajay S

Aug 30, 2018

Fantastic

por Yunxiang L

Aug 29, 2018

超级棒,简单易懂。哈哈哈~刷完了好开心,感谢恩达!

por futoshi k

Aug 29, 2018

Great course

por Baliev D

Aug 30, 2018

There are some annoying typos in programming assignements, especially in week 1, but overall a very good course!

por Kazuki Y

Jul 24, 2018

Great overview of models for text data.

por Kunal V

Aug 18, 2018

amazing course

por yhbfirst001

Aug 31, 2018

吴老师讲的真好,深入浅出

por N J K R

Aug 31, 2018

A very practical approach to teaching

por PRACHI G

Jul 25, 2018

Great course, great lectures and assignments. It would have been slightly better if the assignments required more input from students' side rather than providing most of the details.

por Yong H P

Jul 26, 2018

Now, I can understand how RNN and LSTM works and how to apply NLP to my model and application. Really fund and informative.

por 梁源通

Jul 26, 2018

Compared to the other four courses,I think this course little abridged

por Chen-kuan S

Jul 26, 2018

Very Useful!

por Mohamed E

Jul 25, 2018

nice course beginner friendly but instructor is not shy to cover advanced topics.

por Marcel M

Jul 27, 2018

This is a superb module which provides you with the skills that will enable you get going fast in developing real world applications that can be modeled as sequence data. You learn of the latest state of the art techniques of developing sequence models using techniques such as GRU's, LSTM's, how to debug them and also how to employ Attention models to make your models that much efficient for problems in NLP, Machine Translation and Speech Recognition. This course is a must for anyone who wants to be a sound practitioner of AI. I love it.

por Ashutosh P

Jul 28, 2018

Really good explanation on even the smallest of things, that's what I like about Prof. Andrew, he never leaves a page unturned.

por 徐立

Nov 04, 2018

great course!

por Isaac S J C

Nov 06, 2018

Great appreciation to Dr. Andrew Ng. The course has been incredibly well taught. Thank you so much for your enlightening lectures. I very much enjoyed the course, and I think it is very well structured and organized. The forum was very helpful when I got stuck in the programming exercises.

por Bogdan S

Nov 04, 2018

Awesome

por Michael D A

Jul 12, 2018

Super-nice! Thank you Professor Andrew Ng

por Shankar G

Jul 13, 2018

The final course was very brief and bit harder to digest. The assignments and quiz where also tricky but, overall had fun. Thanks Andrew Ng and team for the Deep Learning Specialization course to be offered on Coursera.