Intelligent Systems: Recognition and Reasoning

Master of Science in Informatics at Grenoble - (WMM42E5)

UFRIM2AG

Academic Year 2019 - 2020

James L. Crowley

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