Chevron Left
Zurück zu Sequenzmodelle

Bewertung und Feedback des Lernenden für Sequenzmodelle von

27,849 Bewertungen
3,329 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:

676 - 700 von 3,329 Bewertungen für Sequenzmodelle

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.


11. Okt. 2020

Course with great content, great examples that give you great intuition and capabilities to enter how the RNN and its different applications work

von Bruno F B V

7. Jan. 2020

It has been a long way, but in my opinion this is one of the best set of courses related to Deep Learning someone can find on the internet today.

von Daniel W

30. Sep. 2019

The course really well introduces to the key concepts of machine learning sequence modelling and NLP tasks. Furthermore, it is really up-to-date.

von Chenkuan L

24. Dez. 2020

Very nice course on recurrent neural network and natural language processing using deep learning. Andrew's lectures are both clear and engaging.

von Devavrat S B

9. Juni 2020

The course is very good for understanding RNN, GRU, LSTM from basics along with word embedding. Thank you Andrew Ng Sir for such a great course.

von Michel M

28. Sep. 2019

This module didn't look as prepared than the others. The assignments had far more errors than the others and also the video were less compelling

von Anirudh A

1. Sep. 2019

Awesome course, taking the student from basics to the advanced level seamlessly. I Really learnt a lot from this. Thanks Andrew Ng and team. :)

von Murad O

13. Feb. 2018

I find this course much better done and prepared than the course on ConvNets. I also learned much here and found it interesting and educational.

von LK

27. Mai 2022

Very in depth. Couldnt really ask for better intuitions. Wish that they explained some Tensorflow within the lectures instead of just the labs.

von 18IT042 C J

23. Juni 2020

This specialisation was very informative, and I learned a lot of things from these courses. Thanks to Coursera and to teach me.

von Fahad S

17. Sep. 2018

This course teaches relatively advanced courses in a very intuitive manner. The assignments were challenging yet fun. Highly recommended course

von Reinaldo L

3. Apr. 2018

simplesmente espetacular. São as palavras que eu encontro para descrever toda a sequência de cursos do Andrew Ng. Mas tem que AMAR matemática !

von Jiansen.Zheng

14. Feb. 2018

Pretty good, for learning recurrent neural network and neural machine translation, and I learned a lot about Keras in the program assignments.

von Diego B C d S

28. Dez. 2020

O curso tem o balanço perfeito entre teoria e prática. Tudo muito completo, mostrando os detalhes para se entender Deep Learning. Muito Bom!!!