UE E9TS-C - Artificial intelligence

Level of knowledge :

N1: beginner
N2: intermediate
N3: advanced
N4: expert

The knowledge (skills) expected at the end of EU courses

Acquire notions of pattern recognition (representations and descriptors, identification/classification, learning, Machine/Deep Learning): (C1, N3)
Know the descriptors of contours and regions (form factors, moments, fourier descriptors, CSS, envelope, skeleton): (C1, N3)
Know the main methods of Machine Learning: (C1, N4)
Know the principles and architectures of Deep Learning: (C1, N3)

The learning outcomes in terms of abilities, skills and attitudes expected at the end of the EU courses

Determine the contour of a binary region: (C2, N2)
Resample a contour of any length into a given number of points: (C2, N3)
Recognize print characters using Fourier descriptors and classification: (C2, N4)
Implement some Deep Learning architectures in Python for detection or segmentation applications: (C2, N3)