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學生對 deeplearning.ai 提供的 序列模型 的評價和反饋

4.8
28,122 個評分

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

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.

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.

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1176 - 序列模型 的 1200 個評論(共 3,375 個)

創建者 Boris A

2020年3月22日

Great course, covers a lot of useful topics and provides great working exercises.

創建者 Paras G

2019年8月26日

Slides should be available in PDF format for students to go back and forth again.

創建者 Michael P

2018年9月12日

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t the videos are excellent

創建者 Ashley C A

2018年8月23日

Good explanations and examples. Maybe should add more development into exercises.

創建者 Ljubisa M

2018年8月12日

Got insights about how all the cool stuff in ML is done and direction of research

創建者 Mohamed E

2018年7月25日

nice course beginner friendly but instructor is not shy to cover advanced topics.

創建者 LiJia

2018年6月3日

Nice classes, with wonderful exercises. I have learnt very happily. Thanks a lot.

創建者 Oleksandr M

2018年2月9日

Great course! As always, there are interesting lectures, useful assignments, etc.

創建者 Eric G S

2020年10月31日

Excellent course, thanks for creating a good balance between theory and practice

創建者 SAI B A

2020年6月29日

good enough basic course though don't stop her continue with your enthusiasm ...

創建者 Tan B

2019年2月28日

This is the last and very good course. The last assignment was very interesting.

創建者 Prasanta G

2019年1月11日

The excercise gave very little room to learn and everything was mostly spoon fed

創建者 Xiaoahe X

2018年11月28日

The course is really helpful, but It takes some time to get familiar with Keras.

創建者 Sayar B

2018年9月8日

A perfect ending to the specialization, this one is for all you NLP enthusiasts.

創建者 Yuval A

2018年6月19日

This course explains the topic of RNN very well. Liked the programming exercise.

創建者 wei y

2018年6月14日

what ever you want, this course will beyond your expectation. many thanks to Ng.

創建者 Emanuele P

2018年5月28日

Clear and explicative sequence model course. Perfect to start learning the topic

創建者 Yash k

2018年5月27日

Difficult things explained in a simple way. That's what make this course awesome

創建者 桉恺 梁

2018年3月16日

The most interesting one! A lot of implements of model in real world. Excellent!

創建者 Fazyl Y

2022年7月27日

This course is amazing! I learned so far materials that I'll use in the future.

創建者 Pasan J

2021年10月9日

Professor andrew is an amazing instructor! I started my ML/DS journey with him!

創建者 지정후

2021年7月7日

It was really a brilliant course with fun and helpful lectures and assignments!

創建者 Ajin J

2020年8月21日

Excellent course,well organised, Best ever learning platform I have ever seen.

創建者 zhanat n

2020年6月7日

This course was really helpful for me to understand Neural Networks, thank you!

創建者 Hugo T K

2020年1月27日

The exercises were very entertaining and Andrew Yang is an excellent professor.