Differenze

Queste sono le differenze tra la revisione selezionata e la versione attuale della pagina.

--- bionics-engineering:computational-neuroscience:start [12/04/2017 alle 12:08 (8 anni fa)] – [Lectures] Updated lecture timetable Davide Bacciu
+++ bionics-engineering:computational-neuroscience:start [30/05/2017 alle 08:37 (8 anni fa)] (versione attuale) – [Lectures] Alessio Micheli
@@ Linea 92: / Linea 92: @@
 | 13 | 12/04/17 (15.30-18.30) | Lab 2.1b - Hebbian learning and Hopfield networks (continued) | |
 |    | 17/04/17 (11.30-13.30) | No class due to [[https://en.wikipedia.org/wiki/Easter_Monday|Italian national holiday]]  | |
-| 14 | 20/04/17 (10.30-13.30) | Adaptive Resonance Theory and deep learning models  | **Recovery Lesson: will be held in room B24**|
+| 14 | 20/04/17 (10.30-13.30) | Lecture 11\\ Part 1: Adaptive Resonance Theory\\ Part 2: Representation learning and deep NN \\ **Recovery Lesson: will be held in room B24** | {{bionics-engineering:computational-neuroscience:4-art-hand-2017.pdf|Lecture 11 - Part 1}}\\ {{bionics-engineering:computational-neuroscience:5-deep-hand-2017.pdf|Lecture 11 - Part 2}}\\ //References//:\\ [DAYAN] Sect. 10.1\\ \\ //Futher Readings//:\\ A gentle introduction to ART networks (with coding examples) can be found [[http://cannes.itam.mx/Alfredo/English/Publications/Nslbook/MitPress/157_170.CH08.pdf|here]]\\ [[bionics-engineering:computational-neuroscience:start#further_readings|[2]]] A classic divulgative paper from the initiator of Deep Learning \\ [[bionics-engineering:computational-neuroscience:start#further_readings|[3]]] Recent review paper \\ [[bionics-engineering:computational-neuroscience:start#further_readings|[4]]] A freely available book on deep learning from Microsoft RC|
-| 15 | 03/05/17 (15.30-18.30) | Module conclusions and Lab 2.2 | |
+| 15 | 03/05/17 (15.30-18.30) | Module conclusions and Lab 2.2 | [[lab2.2|Assignment 2.2]] \\ {{bionics-engineering:computational-neuroscience:topicsmodule2.pdf|List of presentation and project topics for the second module}} |
+| 16 | 08/05/17 (11.30-13.30) | Introduction to RNN: tasks and basic models | [[http://www.di.unipi.it/~micheli/DID/CNS/CNS-2017/part3/| Lecture and info multifiles]] |
+| 17 | 10/05/17 (15.30-18.30) | Introduction to RNN: properties and taxonomy; intro to learning by BPTT | [[http://www.di.unipi.it/~micheli/DID/CNS/CNS-2017/part3/| Lecture and info multifiles (also RNN learning)]] |
+| 18 | 15/05/17 (11.30-13.30) | Introduction to RNN: learning by  RTRL| [[http://www.di.unipi.it/~micheli/DID/CNS/CNS-2017/part3/| Lecture and info multifiles (RNN learning)]] plus blackboard notes|
+| 19 | 17/05/17 (15.30-18.30)  | Introduction to RNN: LAB3-1 - learning with IDNN and RNN| [[http://www.di.unipi.it/~micheli/DID/CNS/CNS-2017/part3/| Info and assignment multifiles (see "RNN - LAB3-1" section). New version 1.1]] |
+| 20 | 22/05/17 (11.30-13.30) | Introduction to RNN: Reservoir Computing | [[http://www.di.unipi.it/~micheli/DID/CNS/CNS-2017/part3/| Lecture and info multifiles (ESN)]] |
+| 21 | 24/05/17 (15.30-18.30) | Introduction to RNN: LAB 3-2 - learning with ESN | [[http://www.di.unipi.it/~micheli/DID/CNS/CNS-2017/part3/| Info and assignment multifiles (see "RNN - Lab2" section).  ]] |
+| 22 | 29/05/17 (11.30-13.30) | Introduction to RNN: LABs 3-1 and 3-2 continue | [[http://www.di.unipi.it/~micheli/DID/CNS/CNS-2017/part3/| Info and assignment multifiles ]] |
 ===== Past Editions =====