Chevron Left
Zurück zu Sequenzmodelle

Bewertung und Feedback des Lernenden für Sequenzmodelle von

29,056 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....



29. Okt. 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.


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.

Filtern nach:

701 - 725 von 3,484 Bewertungen für Sequenzmodelle

von Uyen H

16. März 2018

The course is well-structured, and a nice introduction to sequence-related neural networks. The programming assignments cover interesting applications.

von Suresh K M

20. März 2020

Fantastic! After this course, i can clearly understand how the basic RNN works. All the programming exercises are very very useful! Thank you so much!

von Kseniia P

30. Juni 2019

Probably the hardest course of the specialization, but made easier with thorough explanations of basic sequence models' architectures.

von Gökhan

19. Feb. 2018

This is an awesome course like other courses in this specialization. You can easily understand concepts and apply them thanks to Andrew and his team.

von Sergei B

25. Feb. 2021

Great course. The way Andrew explains the material makes it very understandable. Labs are very neat - especially the comments and markdwon portions.

von Mcvean S

20. Nov. 2020

Always a pleasure to learn from sir Andrew, and this is one of the best courses that teach Natural Language Processing and Sequence Models in depth!

von Vivek M

11. Apr. 2020

Sir Andrew teaches in a very friendly way, also the programming assignment is great to check your understanding of the concepts. Highly recommended.

von Rooholla K

20. Feb. 2020

Thank you Andrew for being such a good and kind person. You've been a shelter and a kind teacher for all of us. Thank you, Thank you and, Thank you.

von Emmanuel A

9. Feb. 2019

Great course on how RNNs work and how they are used to solve real problems (speech recognition, translation, names generation, music generation...).

von Ramesh N

19. Jan. 2019

Systematic, step by step approach to understanding sequence models and practical exercises to see them implemented with lots of guidance.

Thanks you!

von Shantanu B

18. Dez. 2018

The toughest course in the deep learning specialization for me. Learnt a lot. Made me ready for further readings and consolidation of the materials.

von Jun W

6. Nov. 2018

Concepts are covered very well. They are not very easy to grasp. But Professor Ng makes it easy. Hopefully, I will practice some of the knowledge.

von David G

8. Feb. 2018

Thank you Andrew for sharing all these great and latest staff in the AI Deep Learning field. Fantastic course. Will recommend it to all my IT staff.

von Robert H

31. Aug. 2022

Quizzes contain imprecise language, making it difficult to interpret what many of the questions are asking and what the answer choices are saying.

von Mohit s

14. Aug. 2020

the hole module properly designed and the lecture was very interesting and helpful also

coding assignments were really challenging but very useful.

von Fuat O

10. Juli 2019

This course have been very useful to learn fundamentals of sequence models. I'm really very happy to apply this course and being able to finish it.

von Aishwarya R

7. Mai 2019

Excellent course. RNN is a complicated topic which has been taught so easily. Thank you Professor Andrew Ng. Loved every programming exercises too.

von Alberto G

29. Sep. 2018

Very good quality course taught by Professor Andrew Ng. You will learn the basics to master Deep Learning Sequence Models using Keras / TensorFlow.

von Du L

3. März 2018

Excellent course! I learned a lot. The assignment are not as well prepared as previous courses. Probably they'll be better as students raise errors

von Mihajlo

20. Feb. 2018

As a novice in seq-2-seq models, I learned so much! This is a great source of state-of-the art knowledge. I only wish it was at least 4 weeks long.

von WAI F C

17. Feb. 2018

Professor Ng's lectures provided intuitive ways to understand the complex recurrent neural networks and how to apply it in real world applications.


14. Feb. 2021

I learned various applications of the sequence models. I hope, I will be able to solve various problems by applying the techniques I have learned.

von Armaan B

11. Sep. 2019

Andrew Ng does not hold anything back while discussing sequence models, including attention mechanisms and how to process and generate audio data.

von wadigzon D

24. Feb. 2019

excellent, I did some speech recognition & neural nets in the past, I am surprised at how much the field has evolved, this was a great refreshener

von Yashwanth R V

20. Feb. 2018

The specialisation and this course have truly helped me gain a profound knowledge in theory as well as in programming of the Deep Learning models.