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Space Education Catalogue

Du Machine Learning au Deep Learning

• Organisation : Formation Pro, Grenoble INP - UGA
• Way of training : Life-long learning - short courses (basics)
• Language(s): French, English
• Place: Grenoble (French Regions: Auvergne-Rhône-Alpes)
• Prepared diploma/grade/title: Certificate of participation (Notification of training attendance/completion)

Course Details

Objectives : Understanding the challenges of machine learning and artificial intelligence
Know the different approaches to a machine learning problem: supervised / unsupervised / semi-supervised, regression / classification etc.
Understand the advantages and disadvantages of deep and wide neural networks
Knowing how to quantify the memory footprint and the complexity of calculating a network in the learning or evaluation phase

Duration and terms : 2 days

Notes : The teaching team is made up of teacher-researchers from the Grenoble INP - Phelma school and researchers from the Grenoble Images Parole Signal Automatique laboratory (GIPSA Lab). This training is based on the technical resources of the Grenoble INP - Phelma school.

Partnerships with national organisations : Grenoble INP - Phelma & GIPSA Lab

Dedicated web site : https://formation-continue.grenoble-inp.fr/formations-courtes/du-machine-learning-au-deep-learning?RH=1522396606568&LANGUE=0#page-presentation

Disciplines

• Engineering Sciences
• Applications, Operations

Topics

• 11 - Computer Science, Applied Mathematics, Modelling, Optimisation, Digital and Data Sciences, Big Data, Cryptography, Cybersecurity, Artificial Intelligence