Chevron Left
Retour à Sequence Models

Sequence Models,

13,160 notes
1,481 avis

À propos de ce cours

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....

Meilleurs avis

par 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.

par 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!

Filtrer par :

1,467 avis

par Ricardo A

Apr 20, 2019

Great hands-on learning for text and speech processing!

par Zhao Chen

Apr 20, 2019

Great class. However, they are some typos/mistakes in the explanations of programming assignments.

par islamgouda

Apr 19, 2019

greate thing

it needs more in implementation of this alghorithms

par Pradeep Indrajith

Apr 19, 2019

Create a strong foundation in the area of sequential modelling

par Santiago Giraldo

Apr 19, 2019

Excellent, thanks!

par Sravan

Apr 19, 2019

Works as a primer. Assignments aren't that great.

par Akshai Srinivasan

Apr 19, 2019

The course was really useful :)

par Munshi Imran Hossain

Apr 19, 2019

A great set of courses. Prof. Ng truly connects with students.

par Thiago Henrique Martinelli

Apr 18, 2019

Poderia dar um pouco mais de instruções na hora de usar as funções do Keras. Ficou um pouco confuso.

No assignment da semana 3 (Machine translation). Tem um output que não precisa estar exatamente igual mas o curso não fala isso e acabei gastando bastante tempo nisso, só vi depois no fórum.

par Raksha Yadav

Apr 18, 2019

best course to start with NLP