Deep Learning 2

Starts on

Ends on

Deep Learning 2
LECTURER

M. Riveill
D. Lingrand

ORGANIZER/S

Université Côte d’Azur

CONTENT AND ORGANIZATION

CNN, RNN, attention models for RNN, hyper-parameter tuning, convolutional and variational auto-encoders, Applications to (1) NLP: Word embedding, Sentiment analysis, Naming Entity Recognition, Part of speech tagging, (2) image processing: feature and image extraction, image denoising.

LEVEL

Master 2

COURSE TYPE

Full course

PARTICIPATION TERMS

ECTS 5

SCHEDULE

Fall semester

LANGUAGE

English

Other short courses

2021. 06. 17 Go

Deep Learning School

2021. 06. 17 Go

Memory Network

2021. 06. 2 Go

Machine Listening

2021. 06. 2 Go

Deep Learning 2

2021. 06. 2 Go

Image Processing

2021. 06. 1 Go

Machine listening

Cookie Settings

A AIDA - AI Doctoral Academy may use cookies to remember your login data, collect statistics to optimize the functionality of the site and to perform marketing actions based on your interests.


These cookies are necessary to allow the main functionality of the website and are automatically activated when you use this website.
These cookies allow us to analyze the use of the website, so that we can measure and improve its performance.
Allow you to stay in touch with your social network, share content, send and post comments.

Required Cookies They allow you to personalize the commercial offers that are presented to you, directing them to your interests. They can be own or third party cookies. We warn you that, even if you do not accept these cookies, you will receive commercial offers, but without meeting your preferences.

Functional Cookies They offer a more personalized and complete experience, allow you to save preferences, show you content relevant to your taste and send you the alerts you have requested.

Advertising Cookies Allow you to stay in touch with your social network, share content, send and post comments.