Chevron Left
返回到 Sequence Models

Sequence Models,

10,014 個評分
1,169 個審閱


This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others. You will: - Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs. - Be able to apply sequence models to natural language problems, including text synthesis. - Be able to apply sequence models to audio applications, including speech recognition and music synthesis. This is the fifth and final course of the Deep Learning Specialization. is also partnering with the NVIDIA Deep Learning Institute (DLI) in Course 5, Sequence Models, to provide a programming assignment on Machine Translation with deep learning. You will have the opportunity to build a deep learning project with cutting-edge, industry-relevant content....


創建者 JY

Oct 30, 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.

創建者 WK

Mar 14, 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!


1,158 個審閱

創建者 陈辉

Dec 10, 2018

虽然后面的课程准备没有machine learning 那么充沛,但是依然是很好的课程

創建者 Harold Lawrence Marzan Mercado

Dec 10, 2018

This Sequence Models and RNNs course was a very challenging course in the specialization similar to that of Convolution Networks. I've learned a lot on these topics, and I will continue expanding my knowledge from here on.

Overall, this is a great and complete specialization on Deep Learning.

Thank you professor Andrew Ng.

創建者 Junfei Shen

Dec 10, 2018

The course content is great overall! The only thing I am a little unhappy is that one or two of the programming exercises have confusion instructions. But finally I made it under the help of peers on the discussion forum.

創建者 Kadir Kirtac

Dec 09, 2018

Thank you Andrew Ng for the great tutorials. That absolutely shed lights ahead my career!

創建者 Rebeen Ali Hamad

Dec 09, 2018

Thank you very much

創建者 gregorius airlangga

Dec 09, 2018

Thank you, very great courses. Love it!

創建者 Vinay Mittal

Dec 08, 2018

The best course of the specialization

創建者 Jaime Rodríguez

Dec 08, 2018

Everything you should know about Recurrent Neural Networks with some impressive demos

創建者 MAIZA Hichem

Dec 07, 2018

great course !

創建者 吴致远

Dec 07, 2018

jupyter notebooks with a bunch of error