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Bewertung und Feedback des Lernenden für Sequenzmodelle von deeplearning.ai

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29,070 Bewertungen

Über den Kurs

In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. By the end, you will be able to build and train Recurrent Neural Networks (RNNs) and commonly-used variants such as GRUs and LSTMs; apply RNNs to Character-level Language Modeling; gain experience with natural language processing and Word Embeddings; and use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering. The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career....

Top-Bewertungen

AM

30. Juni 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. März 2018

I was really happy because I could learn deep learning from Andrew Ng.

The lectures were fantastic and amazing.

I was able to catch really important concepts of sequence models.

Thanks a lot!

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451 - 475 von 3,486 Bewertungen für Sequenzmodelle

von Naga K R

6. Feb. 2022

One of the best courses in this specilazation. Programming assignments are so creative and fun :). Shout out to the creators!!!. If anybody want to learn about NLP and Transformer Networks, then this is the right place.

von T T

26. Aug. 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.

von Shahin Z

29. Sep. 2020

Absolutely fantastic course! Perfectly follows on from the Machine Learning course by Prof Ng et al.

(One slight issue with some videos' audio: there was a very high-pitch whistling that was almost painful to the ear.)

von Joakim P H

20. Aug. 2018

At first I thought this was the least interesting course, but after the lectures and labs I have to say that this is really the most interesting of them all. However it requires some knowledge from the previous courses.

von Shankar G

13. Juli 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.

von Michał K

14. März 2018

Out of all five specialization courses, this was second most useful (right after first course in the series). Also one of the few that used any modern DL framework (Keras) and not implementing pseudo solutions in numpy.

von Rúben G

2. Nov. 2019

I was able to understand the difference between sequence models and previous course models. Moreover, I understood now how text and speech can be processed by AI. Finally, I could understand better the Keras framework.

von Abishek S

30. Okt. 2019

This was an excellent course. The materials were perfectly structured to maximize understanding. I had no idea of a RNN and the course made a fantastic job in explaining and helping me develop a precise understanding.

von Arun K S N

27. März 2018

Yet again Andrew Ng explains complex topics related to Sequential models in a much easier and understandable way . Barring few problems with the assignments and missing overview on Keras , overall course is a good one

von Kevin N

18. Jan. 2023

Terrific course to get caught up on the latest and greatest in machine learning. Each course had the right amount of content and the pace was enjoyable per week with the video lessons, quiz, and programming projects.

von Robert Y S

17. Juli 2021

Fantastic course. I benefitted immensely from Professor Ng's easy-to-understand lecture videos and the practical programming assignments. Looking forward to taking more courses from Professor Ng and DeepLearning.AI!

von Swapnil

4. Feb. 2020

This Is very helpful course in order to learn Recurrent Neural Networks. The first 2 weeks were amazing but the third week was a bit less interesting. This whole series of Deep Learning Specialisation is really good.

von Asaduddin A Z

2. Mai 2019

firstly, I know about RNN is from this course, the explanation is clear, combination between theory and practical is great. This is a good resource for you if you want to know about RNN, NLP with Deep Neural Network.

von tianwengang

19. Dez. 2018

Thank you! Although I have been working on AI for more than a year, coursera has given me a more systematic understanding of my previous work, and many opinions have been very helpful to my work, thank you very much!

von Ankit S

13. Juli 2018

This course was very good in terms of practical knowledge as it will keep challenging you in each and every assignment. It will make sure you utilize discussion forum thoroughly :) I loved it Course 4 and 5 are best.

von Gema P

23. Mai 2018

This course is excellent .

It might be pretty intense of an ending specialization course .

It might be extended with how to structure sequence machine learning projects module .

Thanks again for making this possible !

von Fabian M

13. März 2018

Thank you for creating a course that provides so many insights into such a difficult topic. Were it not for this entire specialization I might still be lost looking for a way to enter the field of AI. Thanks a lot!

von SP

16. Feb. 2018

Andrew Ng's course is immensely enjoyable and accessible as usual. I especially appreciated the use of durian as an example throughout. It very much made me hungry and nostalgic for my time at home in Southeast Asia.

von Shivam t

23. Aug. 2022

The best course i ever learned,thank you for providing such vast knowledge and making my career start towards AI/ML.It will definetely help me make this world a better place by taking inspiration from all instructor

von Madhuri S J

12. Juni 2020

The Sequence Models course was very unique. When I had read about RNNs many concepts were not clear. Now I have a better understanding of RNN, GRU and LSTM. But I have to still learn dig more into Attention models.

von Joachim D

3. Feb. 2019

Great course, very clear presentation and interesting examples on how to prepare data and how to use keras. Very interesting on how easy it is to build & train complex networks with keras (once you have the data..)

von Marc S D M

27. Juni 2021

Fantastic ! I heard about RNNs in the past but did not know how they were applied for such various topics. Now I know ! Thanks a lot to Coursera and in particular to Mr. Andrew for his highly pedagocic approach.

von Ankit V

6. Okt. 2020

Andrew Ng Sir made deep learning so easy to understand and interesting. I was intimidated by words LSTM ,RNN, Attention etc but now i am comfortable with these concepts. Thanks a Lot Sir for this wonderful series.

von Javier E

13. Juni 2020

Great course. Very challengint for me, but thanks to the clear explanations provided i could finish it and have surprises when I found that many of my thinking on the matter was right!

I'm so grateful. Thank you!!!

von Hao W

11. März 2018

In my opinion this 5th course on sequence model is the most interesting (and the hardest) course in this specialization; not only the content but the programming practices are well built.

It's my favorite course :)