Intelligent Systems:
Recognition and Reasoning
Academic Year
2020 - 2021
schedule of Classes
Wednesdays 11h15 - 12h45
Fridays 8h15 - 9h45
Lectures will be on Zoom - Meeting ID 932 2428 9043
(Password available on request)
http://crowley-coutaz.fr/jlc/Courses/2020/ENSI2.SIRR/ENSI2.SIRR.html
Class notes (pdf)
03 February 2021 Lesson 1 Intelligence:
Learning, Recognition, Knowledge and Reasoning
(Recording of Lecture)
05 February 2021 Lesson 2 Machine Learning and Performance
Evaluation
(Recording of Lecture)
Exercise 1 Performance evaluation, ROC Curves, Precision and Recall
10 February 2021 Lesson 3 Bayes Rule with Probability Distributions and
Densities
(Recording of Lecture)
12 February 2021 Lesson 4 Nonparametric Methods for Bayesian
Recognition.
(Recording of Lecture)
Exercise 2 Classification with non-parametric
models
17 February 2021 Winter Vacation (Mardi Gras)
19 February 2021 Winter Vacation (Mardi Gras)
23 February 2021 Lesson 5 Non-Supervised Learning with K-Means and EM
(Recording of Lecture)
Jeff
Bilmes, A Gentle
Tutorial of the EM Algorithm
25 February 2021 Lesson 6 Support Vector Machines and Kernel
Methods
(Recording of Lecture)
Background reading: SVM Tutorial by Shi
Hung WU (CYUT)
Exercise 3 Support Vector Machines with Radial
Basis Functions
03 March 2021 Lesson 7 Perceptron Learning and Gradient Descent
(Recording of Lecture)
05 March 2021 Lesson 8 Artificial Neural Networks and Back-Propagation
(Recording of Lecture)
Paper on Xavier GLOROT's initialisation procedure
Exercise 4
Backpropagation
10 March 2021 Lesson 9 Encoders: Generative Networks, Auto-Encoders and Generative Adversarial
Networks
(Recording of Lecture)
12 March 2021 Lesson 10 Programming Neural Networks in Keras
(Recording of Lecture)
Exercise 5 Neural Network
Progamming Exercise
Exercise 5
The MNIST Database of Handwritten Digits (Y. LeCun, C. Cortes, C. J.C. Burges)
17 March 2021 Lesson 11 Convolutional Neural Networks, Pooling, Classic Network Architectures
19 March 2021 Lesson 12 Generative Convolutional Networks, Deconvolution and YOLO: You Only Look
Exercise 5 Neural
Network Progamming Exercise (Cont'd)
24 March 2021 Lesson 13 Decision Trees and Random Forests
(Recording of Lecture)
26 March 2021 Lesson 14 Expert Systems
(Recording of Lecture)
Exercise 5 Neural
Network Progamming Exercise (Cont'd)
20 March 2021 Lesson 15 Temporal Reasoning with Interval Relations
02 April 2021 Lesson 16 Knowledge Representations: Concepts,
Schema, Relations
Exercise 6
Temporal Reasoning
Exercise 6 Table of Interval Relations
07 April 2021 Lesson 17 Knowledge Representations:
Situation Models, Frames, Scripts and Semantic Nets
09 April 2021 Lesson 18 Planning and Problem Solving, Planning as
Search
Exercise 7 Planning with A*
search
14 April 2021 Lesson 19 Narrative Reasoning
18 April 2021 Lesson 20 Bayesian Networks
Exercise 10 Bayesian Networks
22 April 2021 Spring Vacation (Easter)
24 April 2021 Spring Vacation (Easter)
29 April 2021 - Lesson 21
31 April 2021 - Practice Exam
May be completed individually or working in a group.
xxx may Final Exam
Exams from the Past (Les
Annals)
The exam of May 2015
The exam of May 2014
The exam of May 2013
http://www-prima.inrialpes.fr/Prima/Homepages/jlc/Courses/2020/MOSIG.SIRR/MOSIG.SIRR.html
NB : These flles may be copied and distributed on the condition
that they include the citation:
James
L.
Crowley, Course notes, "Intelligent Systems: Recognition and
Reasoning", Grenoble Institut Polytechnique, January - May 2021
Created by James L.
Crowley. Last update 15 Jan 2021