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bionics-engineering:computational-neuroscience:start [17/05/2017 alle 10:12 (7 anni fa)]
Alessio Micheli [Lectures] |
bionics-engineering:computational-neuroscience:start [30/05/2017 alle 08:37 (7 anni fa)] (versione attuale)
Alessio Micheli [Lectures] |
| | 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| | | 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 | [[lab2.2|Assignment 2.2]] \\ {{bionics-engineering:computational-neuroscience:topicsmodule2.pdf|List of presentation and project topics for the second module}} | | | 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 | 08/05/16 (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]] | | | 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 | 10/05/16 (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)]] | | | 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 | 15/05/16 (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| | | 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 | -/05/16 (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)]] | | | 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 ]] | |
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