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

4.8
16,710 Bewertungen
1,828 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

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.

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.

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251 - 275 von 1,808 Bewertungen für Sequence Models

von YASH H J

Dec 16, 2018

Great one Andrew NG sir!

von Yi X C

Dec 01, 2018

Amazing course. Amazing explanation of how Sequence Models work in a very intuitive and practical way. Amazing code examples - learnt a lot. Oh just one note though -- Durian is from Malaysia not Singapore!

von Man M S

Dec 02, 2018

This one was bit tougher then earlier 4 courses but a very good course. Course content is great for implementing NLP. Course step ups my existing level in Machine Learning.

von Michael F

Nov 15, 2018

The materials in this course were fantastic, and the problems were extremely interesting. There are still some typos and glitches in the programming assignments, but I'm sure these will disappear in time.

von Ian T

Mar 22, 2019

Amazing

von Martin A

Mar 22, 2019

This was simply awesome - can't wait to build something!

von Nguyễn V T

Mar 22, 2019

i love it

von Ashok R A

Mar 22, 2019

Excellent Course. Thank you

von WALEED E

Mar 20, 2019

This course was quite amazing in understanding with top papers discussed how machine translation and word trigger detection is carried using RNN. Code assignment was the best to show detailed steps of building RNN with a lot of hints to keep you moving forward

von Zynab S

Mar 21, 2019

Yes, I have just finished the whole specialization. I'm very proud of myself. And I recommend this specialization to anyone who wants to start with this field. Andrew is the best one I've seen who able to explain the thing in deeper way. Thanx

von Mohd H

Mar 21, 2019

Attention mechanism was best

von Amanda W

Mar 22, 2019

Andrew Ng does an excellent job of explaining and teaching various sequence models in a format that any layman can understand. I really enjoyed this course and look forward to taking more corses with Mr. Ng and his staff in the future.

von Martin B

Mar 22, 2019

Very very interesting but it's a lot more difficult than the other courses. I did it out of sequence (no pun intended) (i.e. I skipped Convolutional networks to go straight to RNN, because they interest me more).

That wasn't the correct move. I barely knew anything about Keras, the exercises took a LOT more time. Still, it's a wonderful course.

von Paweł T

Mar 21, 2019

Big improvement on this field

von John G S

Aug 01, 2018

Wealth of material presented well.

von Tran T D

Jul 31, 2018

very good course again!!!!

von narendra s

Jul 31, 2018

Great Course

von Huanglei P

Jul 31, 2018

This end course is a little more complicated than the previous ones, especially in programming homework. However, it also inherits the merits of the special, gives learners the basic framework of sequence models. What impresses me most is the lesson of "Debiasing word embeddings", it shows that AI could be designed to do more against human stale thoughts, which sets up a good principle for designing AI. Yes, it should be taught to new learners of AI.

von Akash P

Aug 01, 2018

Great course for RNN.

von Kévin S

Jul 31, 2018

This short 3 weeks courses will make you work a little, exercice take at least twice the time write. You will learn about the famous LSTM, and how to use it on various tasks.

I'm not sure the 'translation' tasks is a good example but there is lot about it. Not a good example, because it is not state of art, and in the 'translation' business there place only for the best.

von 莫毅啸

Aug 03, 2018

ths

von Anurag U

Aug 04, 2018

insightful and thoroughly explained.

von Dan L

Aug 03, 2018

Specific course. I really enjoy all courses of this specialization. Thanks, Prof. Ng!

von Manh T D

Aug 02, 2018

Thank you so much for putting all of the dedicated efforts in creating such an incredibly amazing and useful course for students like me! I really appreciated it!

von Gilles A

Aug 03, 2018

Great, very usefull with both fundamental understanding of the sequence model, and great practical exercises unsing Keras both to fully understand and gain pra