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Comentários e feedback de alunos de Sequence Models da instituição deeplearning.ai

4.8
estrelas
26,834 classificações
3,179 avaliações

Sobre o curso

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....

Melhores avaliações

AM
30 de Jun de 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 de Mar de 2018

I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!

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476 — 500 de 3,165 Avaliações para o Sequence Models

por Naman S

23 de Set de 2020

Amazing course, just like the previous 4 of the specialization. Sir Andrew Ng has simplified and helped implement deep learning in a really helpful way. Grateful to have such a great teacher

por Steve S

14 de Mai de 2019

This course was my favourite and definitely the most challenging. Every course with Andrew Ng is amazing. Thank you and I will continue to take more courses in this area of specialization.

por f V S

14 de Nov de 2018

The sequence model course is good , but compared to the convolutional neural net course it somewhat lacking in the content. But overall the concepts and assignments are good and challenging.

por BAI Y

3 de Fev de 2020

This course is harder than course 1, 2 & 4. Especially for the assignments of week 1, I spent far more than 4 hours to complete.

It is better to provide more contents on Speech Recognition.

por Abel G

7 de Mar de 2018

The best specialization ever! thank you for all the dedicated people behind these courses and thanks Andrew Ng for explaining all the materials in the most enjoyable and easy way possible.

por Omar A

15 de Jan de 2020

This Course was a nice introduction to Sequence-To-Sequence Models, where we learned about applications involving speech recognition, machine translation, & captioning of images or videos.

por Md F S

8 de Mai de 2019

This is one of the best course which has covered Sequence Model so well that everyone can understand it. Thanks to Deeplearning.ai for this amaing course and specially thanks to Andrew Ng.

por 罗成毅

6 de Jul de 2018

thank you! I wonder if there have any platform or any web that i can continue learn more about machine learning? I want to read new papers or even discuss some idea about machine learning.

por Nurmukhamed U

13 de Fev de 2018

Great course. Thank you. I enlarged my knowledge in machine learning and took an inspiration make a research in deep learning, at least I started to read papers and try to generate ideas.

por Labib A

30 de Mai de 2020

I was so confused of RNN, LSTM. Was very depressed after finishing this course i am kinda really happy! Fully understood the logic behind RNNs and LSTMs. Great course highly recommended!

por Nguyen C T

17 de Abr de 2020

Well structured and interesting coding assigments, just enough to make use of what you learn and then you would still need more hands-on experience to master the knowledge provided here.

por ABHISHEK M [ B C A 2 ]

22 de Out de 2020

It's a very good course to learn about RNN and how to use RNN in NLP task. This course is lot more fun and I really enjoyed it. Thanks you my dear sir Andrew Ng for this amazing course.

por Yash A

19 de Abr de 2020

The Toughest one in the Deep Learning Series.But had lots of fun in learning. Now I begin the exploration of Speech Recognition , Music Creation and NLP in muh greater detail on my own.

por Anurag C

13 de Jan de 2020

Thank you very much for the experience and could you also develope a similar course for time series prediction on data other than speech or NLP like sensor generated data, weather, etc.

por Yi L

29 de Ago de 2019

Really learned a lot from this course. This makes me feel closer to my dream! Thanks to Andrew and his crew! Thanks to the course!Thanks to Deep Learning technology! Thanks to Coursera!

por Tianqi T

13 de Jul de 2019

the course itself was great, but Coursera did a very bad job providing the infrastructure for the last assignment. it took me a long time to hack the assignment and submit successfully.

por Luis F F

8 de Jul de 2018

Love all the specialization courses. Concise, clear and entertaining theoretical explanations. And very well prepared and illustrative assigments.Thanks for your dedication and work....

por Diwakar P

2 de Ago de 2020

Excellent Course form Reinforcement Learning and Sequence models. I recommend everyone who are going to take Natiural Language Processing, as it build a strong base in sequence models.

por Himanshu B

19 de Jul de 2018

This was just like a cherry on top of cake. This is highly recommended for the deep learning and machine learning enthusiasts. Content and quality of course material is beyond perfect.

por Dhritiman S

22 de Mai de 2018

While this course was excellent, it is worth noting that the programming assignments were sometimes very very challenging and there was little to no guidance in the accompanying hints.

por Matthew A

8 de Abr de 2018

Thank you so much for this course. It's beyond helpful. I'm very grateful for the path of discovery that it has provided and excited to continue developing my skills in the real world.

por AnnMargaret T

19 de Mar de 2018

A wonderful conclusion to a thorough sequence! I enjoyed this specialization so much. Thank you to Andrew Ng, and Teaching Fellows, for putting this program together! Much appreciated!

por Steve Z

18 de Fev de 2018

This was the most difficult course in the series, but also has the greatest application to the kinds of problems I am interested in. Thank you creating this course and series! - Steve

por Brandon W

17 de Fev de 2018

This time around the programming exercises were a bit of guesswork. Would have been helpful to have more informative error messages. However, the course was very well taught as always.

por Okan Y

28 de Ago de 2020

Excelent resources and learning materials, it was very intiutive and helpful, thank you to Mr Andrew and his team. That was my last course in specialization, I will miss this place :)