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Bewertung und Feedback des Lernenden für Sequenzmodelle von deeplearning.ai

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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....

Top-Bewertungen

JY

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.

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.

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601 - 625 von 3,329 Bewertungen für Sequenzmodelle

von anand s

7. Sep. 2020

Took a deep dive into the esoteric world of Deep Learning. What a brilliant course by Andrew Ng. He truly is a remarkable teacher. An immensely satisfying course.

von Rehan S

6. Feb. 2020

Some assignment are difficult but interesting enough. I advice other when you stuck in your assignment or quiz again view the video clear your concept and retake.

von Rajan K

13. Nov. 2018

Thank you for introducing RNN briefly. This is a vast topic but the course managed to give a good idea to enable one to begin on RNN modelling. Thank you Andrew!!

von Ber L C

1. Aug. 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 Julien L

24. Apr. 2018

Good course. The programming exercices are harder than the other courses if you do not correctly understand Kerras logic.

Thank you for giving the type of courses

von José A C C

16. Aug. 2020

Great module as all in the specialization, really. If I were to be picky, the programming exercise could be a bit more challenging by having less completed code.

von Manoj T

12. Juli 2020

That's great journey to accomplish the Deep Learning Specialization course. I thanks all deeplearning.ai and Coursera teams who provided this wonderful platform.

von Anubhav B

11. Mai 2020

One of the best courses out there on Deep Learning. The ease and comforting pace is the best part, learnt a lot, will now try to implement the same from scracth.

von Ankita S

3. Mai 2020

This course is so well organised and provides easy explainations for complex neural network models. Furthermore the assignments are really awsome and fun to do !

von João F

28. Sep. 2019

Excellent course and specialization. Very detailed explanations, active forums and great assignments. A big "Thank you!" to Professor Ng, the staff and Coursera!

von Thomas A

3. Dez. 2018

Kinda hard for me, because I am more involved into Structured Data and Image Processing Projects right now. But this course gave me lots of new ideas. Thank you!

von Bachchu P

30. Mai 2022

Very much helpful course specially for NLP and Speech Recognition. Practical session was very interesting and got a broad idea of the topic. Thank you Andrew Ng

von Ali

12. Mai 2020

The most challenging one of the 5, projects were interesting. Andrew's approach is clear as always. Great place to start. Previous 4 courses are a prerequisite.

von Shantanu A

4. Feb. 2020

I loved the content of this course. It covers very relevant topics, the lectures are fun and easy to navigate through, and the assignments are very interesting.

von Lars R

30. März 2018

Great video lessons though some of them repeated the same point to many times. Great test/questions sections. Very interesting, educational and fun assignments.

von O K

19. Nov. 2021

This was an excellent introduction to sequence models. It provided me with fundamentals (and more) on the subject. Will be keeping this course as my reference!

von Aravind R K

30. Mai 2021

Great way to finish off the DL specialization. Had a blast learning about time sequences and attention models. It was extremely fun to work on the assignments.

von Oleg S

21. Okt. 2020

Extremely useful course. From base example to serious mechanisms like Attention. Thanks to all of the team for that specialization and especially to Andrew Ng.

von JOAN G V A

14. Sep. 2020

Wonderful. Fun. Interesting. Relevant.

Only improvement: free extended versions of the notebooks, ungraded, with the long process to do the end-to-end projects.

von Sann S S Y

18. Juli 2020

This course is very affect to fill my knowledge during pandemic. I hope to get more knowledge by learning courses related with machine learning and AI on here.

von Sarfaraz K

26. Feb. 2019

Awesome course, no other online course can match the depth and breadth of the content. State of the art information and super useful and practical assignments.

von Gilles A

3. Aug. 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

von Jinkai W

4. Juli 2018

Finally, finish the 5 courses, really appreciate Andrew's helpful instruction and the inspiring homework. These courses really help me get a big picture of DL.

von Ferenc F P

22. März 2018

Very good introduction to RNN, GRU and LTSM neural networks with good practical examples. Recommended for those who want to understand how these networks work.

von Buddhika L S

3. März 2018

This is a very practical course on using Deep sequence models such as RNNs, LSTM and GRU. Lots of real world application based assignments. Thank you Prof. Ng!