Intelligent Systems:
Recognition and Reasoning
Master of Science
in Informatics at
Grenoble - (WMM42E5)
UFRIM2AG
Academic Year
2019 - 2020
Tuesdays 11h30 - 13h00 - F 316
Thursday 8h00 - 9h30 - F 320
*Verify Lecture Times and Locations in the ADE of UFRIMAG
http://crowley-coutaz.fr/jlc/Courses/2019/MOSIG.SIRR/MoSIG.SIRR.html
Class notes (pdf)
04 February 2020 Lesson 1 Intelligence:
Learning, Recognition, Knowledge and Reasoning
06 February 2020 Lesson 2 Machine Learning and Performance Evaluation
06 February 2020 Exercise 1 Performance evaluation, ROC Curves, Precision and Recall
11 February 2020 Lesson 3 Bayes Rule with Probability Distributions and Densities
13 February 2020 Lesson 4 Nonparametric Methods for Bayesian Recognition.
13 February 2020 Exercise 2 Classification with non-parametric models
18 February 2020 Lesson 5 Non-Supervised Learning with K-Means and EM
18 February 2020 Jeff Bilmes, A Gentle
Tutorial of the EM Algorithm
20 February 2020 Lesson 6 Support Vector Machines
20 February 2020 SVM Tutorial by Shi Hung WU (CYUT)
20 February 2020 Exercise 3 Support Vector Machines with Radial Basis Functions
24 February 2020 Winter Vacation (Mardi Gras)
26 February 2020 Winter Vacation (Mardi Gras)
03 March 2020 Lesson 7 Perceptron Learning and Gradient Descent
05 March 2020 Lesson 8 Artificial Neural Networks and Back-Propagation
05 March 2020 Paper on Xavier GLORIOT's initialisation procedure
05 March 2020 Exercise 4 Backpropagation (Version 3 - Should be easier) (V2 - more challenging)
(updated 20 march - should be easier than earlier version).
10 March 2020 Lesson 9 Convolutional Neural Networks, Pooling, Classic Network Architectures
12 March 2020 Lesson 10 Programming Neural Networks in Keras (Nachwa Aboubakr)
12 March 2020 Exercise 5 Neural Network Progamming Exercise (Due 16 April)
12 March 2020 Exercise 5
The MNIST Database of Handwritten Digits (Y. LeCun, C. Cortes, C. J.C. Burges)
17 March 2020 Lesson 11 Generative Networks, Autoencoders, Variational Autoencoders
17 March 2020 Lesson 11 High Resolution Recorded Lecture (168 Meg)
17 March 2020 Lesson 11 Low Resolution Recorded Lecture (26 Meg)
19 March 2020 Lesson 12 Recurrent Networks (ISRR 2018 Tutorial)
19 March 2020 Lesson 12 Recorded Lecture for lecture 12 (130 Meg)
19 March 2020 Exercise 5 Neural Network Progamming Exercise (Cont'd)
24 March 2020 Lesson 13 Decision Trees and Random Forests
26 March 2020 Lesson 14 Expert Systems
26 March 2020 Exercise 5 Neural Network Progamming Exercise (Cont'd)
31 March 2020 Lesson 15 Temporal Reasoning with Interval Relations
02 April 2020 Lesson 16 Knowledge Representations: Concepts, Schema, Relations
02 April 2020 Exercise 6 Temporal Reasoning
02 April 2020 Exercise 6 Table of Interval Relations
07 April 2020 Lesson 17 Knowledge Representations: Situation Models, Frames, Scripts and Semantic Nets
09 April 2020 Lesson 18 Planning and Problem Solving, Planning as Search
09 April 2020 Exercise 7 Planning with A* search
14 April 2020 Lesson 19 Narrative Reasoning
16 April 2020 Lesson 20 Bayesian Networks
16 April 2020 Exercise 10 Bayesian Networks
21 April 2020 Spring Vacation (Easter)
23 April 2020 Spring Vacation (Easter)
30 April - Practice Exam
May be completed individually or working in a group.
To obtain the correction sheet, send your completed exam as a .pdf by email to James Crowley before midnight Thursday 7 May.
11 may 09:00 Final Exam - completed exams must be sent by email to James Crowley as a .pdf before 9:00 on 12 may.
Tutorial about the Back-Propagation Algorithm
You are invited to participate in the an M2 Research Project about presentation techniques for video tutorials
This experiment uses a tutorial,on backpropagation that is based on lectures 7 and 8 and is useful preparation for the exam.
Click HERE to participate in the experiment.
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 2020
Created by James L.
Crowley. Last update 11 may 2020