Orateur
Francoise BOUVET
(IJCLab - CNRS - UPsay)
Description
(4 seats available on a first-come, first-served basis)
We will describe the main concepts of Deep Learning (DL). We will focus on Multilayer Neural Network (MLP) and Convolution Neural Network (CNN).
In particular, we will talk about :
- artificial neuron,
- MLP : structure and how it works,
- CNN : structure and how it works,
- a brief review of other NN structures.
Some exercises will be provided to program simple MLP and CNN in Python with Keras.
Prerequisites:
- Practice of Python and main libraries (numpy, pandas, matplotlib).
- Priority will be given to the attendees of « Initiation to Machine Learning ».
