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學生對 deeplearning.ai 提供的 序列模型 的評價和反饋

4.8
27,849 個評分
3,329 條評論

課程概述

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....

熱門審閱

JY

2018年10月29日

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

2019年6月30日

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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1301 - 序列模型 的 1325 個評論(共 3,329 個)

創建者 Eduardo H

2020年12月29日

It's the hardest course off all the specializaton but it is worth it

創建者 VIJAYARAGHAVAN V

2020年6月14日

Excellent course, I have learned lot. It's very useful for my career

創建者 Piyush K B

2020年4月15日

This course has boosted my motivation for working on Sequence Models

創建者 Iris j M

2019年7月2日

Thanks again to Professor Ng. Super interesting courses. Appreciated

創建者 Zhaiyu C

2019年1月26日

A bit harder than previous courses. Pretty well organized as always.

創建者 Jeffrey V V

2019年1月14日

I learned a lot about how to put together recurrent neural networks.

創建者 Sunaram P

2018年2月7日

A very good intro to NLP/Speech Recognition with Deep Learning (RNN)

創建者 Shaswata D

2020年6月1日

Good course for understanding and building rnn for sequential data.

創建者 Nazmus S

2019年8月15日

iPython Notebook kept crushing which was a disappointing experience

創建者 Mark L H

2018年5月10日

Nice mix of simple and complext concept plus good exposure to Keras

創建者 David S B

2018年3月12日

Thanks a lot. That was a very good introduction to sequence models.

創建者 car s

2018年2月23日

Great lecturer. Best explanations to GRU and LSTM I have even seen.

創建者 Julio A

2022年4月17日

A great course and very much what you would expect from Andrew Ng.

創建者 Francesco F

2022年2月12日

Great Course: Solid Theoretical Approach, Representative Exercises

創建者 Nghĩa P

2022年1月1日

Hard course but fruitful thanks Coursera for giving me opportunity

創建者 Abdulrazak Z

2021年1月20日

One of the most interesting and useful courses I've ever attended.

創建者 Martin E

2020年12月31日

Aprendí muchas cosas nuevas. Ahora es hora de ponerlo en práctica!

創建者 Barata

2020年12月19日

Easy to understand explanations, interesting programming projects.

創建者 Vishnu N

2020年10月25日

ThankYou Andrew Ng for this interesting course on Sequence Models.

創建者 Adikwu U S

2020年6月17日

Great content and delivery that make advance concepts look simple

創建者 LAAVANYA M

2020年6月14日

Wonderful experience and lots of experiments to enhance our skills

創建者 Shengjun G

2020年6月13日

This course helps me a lot! Thank you all for this amazing course!

創建者 Juan C L

2020年5月30日

I learning the mostimportant subjects for may professional profile

創建者 Sujatha r G

2020年5月18日

It was very fantastic session, gained much knowledge .Thanks a lot

創建者 Jamal A

2018年4月3日

Learnt a lot! Great effort by Prof. Andrew NG, highly recommended.