Deep Learning Course

The following are last minute news you should be aware of ;-)

* 12/02/2018: The course starts today!
* 09/02/2018: First version of this website ...

Course Aim & Organization

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Teachers

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Course Program

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To avoid overlap between the "Deep Learning, Theory Techniques and Applications" (DL) PhD course and the "Image Classification: modern approaches" (IC) PhD course, and leverage on the specific competencies of the teachers, topics presented in DL classes will not be covered by the IC classes. Similarly, topics in IC won’t be covered in DL. Please refer to the detailed program and the course logistics to see which are the mandatory classes to be attended from the Image Classification course.

Detailed course schedule

A detailed schedule of the course can be found here; topics are just indicative while days and teachers are correct up to some last minute change. Please note that some days you have a lecture both in the morning and in the afternoon.

Course Evaluation

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Course Logistics

We would like to thank all the students for their enthusiastic participation, it has made course logistics quite challenging, but we have followed the motto “no student left behind” and we have done our best to accommodate the all of you.

Classrooms

Both DL and IC will be held in the following rooms so take note and spread the voice in case you know people who are going to attend and might not have received this email.

• February 12th, Aula S.0.2. Ed 3
• February 14th, Aula S.0.2. Ed 3
• February 16th, Aula S.0.5. Ed 3
• February 19th, Aula S.0.5. Ed 3
• February 21th, Aula S.0.2. Ed 3
• February 23th, Aula N.1.2. Ed 2

These classrooms should be able to fit the all of you, in case not we will check for alternative rooms and will notify this.

Course hours

Starting hours are sharp, i.e., they already include the “academic quarter”:

• DL will be in the morning: from 9.30 to 13.00,
• IC will be in the afternoon: from 14.15 to 17.45,

Attendance

The Deep eThese are courses open to Master Students, PhD students and few external participants. Everybody who is interested in getting credits (CFU) or attendance certificates, will be asked to sign an attendance list on each class (a class is a block of hours in the morning or in the afternoon).

Notice that In particular L students have to attend IC on: February 12th, February 19th, and February 21th. This makes the DL schedule:

• February 12th Morning
• February 12th Afternoon
• February 14th Morning
• February 16th Morning
• February 19th Morning
• February 19th Afternoon
• February 21th Morning
• February 21th Afternoon
• February 23th Morning

Similarly IC students have to attend DL on February 12th, February 14th, and February 19th. This makes the IC schedule

• February 12th Morning
• February 12th Afternoon
• February 14th Morning
• February 14th Afternoon
• February 16th Afternoon
• February 19th Morning
• February 19th Afternoon
• February 21th Afternoon
• February 23th Afternoon

Despite the fact you are attending just one of the courses (e.g., because as master student you can get credits only for one of them) we warmly suggest to attend all the lectures from both courses.

Programming Environment

The reference programming language for both courses is Python. In both DL and IC there will be sessions where you’ll be asked to implement yourself a few lines of codes and possibly we will give some simple assignment. The first lecture, bring your laptop and make sure to have Python 3.6 installed; install Miniconda / or Anaconda framework from conda.io … more informations will be provided later on regarding for additional tools and facilities.

Websites

Please refer to the following websites for specific course materials and detailed calendars:

• DL: http://chrome.ws.dei.polimi.it/index.php/Deep_Learning_Course
• IC: http://home.deib.polimi.it/boracchi/teaching/ImageClassification.htm

Teaching Material

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Additional Resources

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