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)
P.
Wang, "On Defining Artificial Intelligence", Journal of Artificial General Intelligence 10(2) 1-37, 2019
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)
(10 minute film on Derivation of Backpropagation)
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)
Example of Jupyter Notebook for MNIST Digit Recognition
Exercise 5 Neural Network
Progamming Exercise
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
(Recording of Lecture)
19 March 2021 Lesson 12 Generative Convolutional Networks, Deconvolution and YOLO: You Only Look
(Recording of Lecture)
Exercise 5 Neural
Network Progamming Exercise (Cont'd)
24 March 2021 Lesson 13 Recurrent Neural Networks
(Recording of Lecture)
26 March 2021 Lesson 14 Expert Systems
(Recording of Lecture)
Exercise 5 Neural
Network Progamming Exercise (Cont'd)
31 March 2021 Lesson 15 Decision Trees and Random Forests
(Recording of Lecture)
02 April 2021 Lesson 16 Knowledge Representations: Concepts,
Schema, Relations
(Recording of Lecture)
Exercise 5 Neural
Network Progamming Exercise (Cont'd)
07 April 2021 Lesson 17 Knowledge Representations:
Frames, Scripts and Situation Models
(Recording of Lecture)
09 April 2021 Lesson 18 Temporal Reasoning with Interval Relations
(Recording of Lecture)
Support Table of Interval Relations
Exercise 6
Temporal Reasoning
14 April 2021 Lesson 19 Planning and Problem Solving, Planning as
Search
(Recording of Lecture)
18 April 2021 Lesson 20 Bayesian Networks
(Recording of Lecture)
Exercise 7 Planning with A*
search
21 April 2021 Spring Vacation (Easter)
23 April 2021 Spring Vacation (Easter)
28 April 2021 - Contents of Lectures
Practice Exam - Performed individually and returned as .pdf by17h00 Thursday 29 April.
(Recording of Lecture)
30 April 2021 - Correction for Practice Exam
(Recording will NOT be available
before the exam)
4 may 2021 9h00 to 12h00 - Final Exam
2 July 2021 14h00 to 17hh - Second Session (second chance) exam
Your completed Second Session exam should be submitted as a single .pdf file
named <YourFamilyName>-ENSI2-SIRR-EXAM.pdf and sent by
email to James.Crowley@grenoble-inp.fr. by 18h00 CET on 2 july 2021. Receipt will be
confirmed by email after verification of the quality of the .pdf.
Save the original file in case of problems with the .pdf.
Exams from the Past (Les
Annals)
(Note that the cours syllabus has evolved over the years.
No questions using CLIPS will appear in the 2020 exam)
The exam of May 2019
The exam of May 2018
The exam of July 2017
The exam of May 2017
The exam of May 2016
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 26 march 2021