2nd Winter School on

Introduction to Deep Learning

Barcelona

UPC ETSETB TelecomBCN (January 22 - 29, 2019)

Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of large-scale annotated datasets and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which were previously addressed with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks or Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles of deep learning from both an algorithmic and computational perspectives.

Instructors

Lectures

Lectures (50%) - Room: D5-010

Course will be divided in modules of half an hour covering the following topics:

22/01 14:00 D1L1 (XG) Welcome
22/01 14:30 D1L2 (XG) Machine Learning
22/01 15:00 D1L3 (XG) Perceptron
22/01 15:30 D1L4 (ES) Multi-Layer Perceptron
23/01 14:00 D2L1 (ES) Backpropagation
23/01 14:30 D2L2 (ES) Convolutional Neural Networks - CNNs
23/01 15:00 D2L3 (JR) Loss functions
23/01 15:30 D2L4 (JR) Methodology
24/01 14:00 D3L1 (RM) Transfer learning
24/01 14:30 D3L2 (MRC) Recurrent Neural Networks - RNNs
24/01 15:00 D3L3 (MRC) Gated RNNs
24/01 15:30 D3L4 (MRC) Attention Models
25/01 14:00 D4L1 (XG) Optimizers
25/01 14:30 D4L2 (XG) Architectures
25/01 15:00 D4L3 (XG) Multimedia Encoding and Decoding
25/01 15:30 D4L4 (XG) Multimodal applications

Project (50%) - Room: D5-004

Students will work in teams to develop a machine learning research project that will be presented in an oral presentation during the final day of the course.

22/01: Getting started
23/01: First steps with Keras and TensorBoard
24/01: Multi-layer Perceptron
25/01: Convolutional Neural Networks
29/01: Oral presentations

Practical

Practical details

Study Programs: Bachelor degrees at at ETSETB TelecomBCN and [Centre de Formació Interdisciplinària Superior (CFIS)(http://cfis.upc.edu/ca) from the Universitat Politecnica de Catalunya.
Course code and official guide: 230325 - IDL
ECTS credits: 2 ECTS
Teaching language: English
Semester: Autumn 2018
Class Schedule: 22, 23, 24, 25 & 30 January 2019 (2pm-4pm Lectures, 4pm-6pm Lab)
Capacity: 40 students
Location: Campus Nord UPC, Module D5, Room 010
Course on Piazza

Registration

Registration procedure depends on the student profile:

Bachelor students at ETSETB who can register the 2 ECTS: Follow the regular schedule from your academic office. There is an extraordinary registration period between 11 and 14 January 2018.
Bachelor students at ETSTEB who cannot register the 2 ECTS: Fill in this form.
Master students at ETSETB: This Winter School is a light version of the full MSc course of Deep learning for Artificial Intelligence, taught during the Autumn semester. So we encourage you to sign up for this other one. However, if you would to register to the Winter School on Deep Learning for Speech and Language (DLSL) or the Summer School on Deep Learning for Computer Vision (DLCV), you can still follow this introductory course in the morning and sign up officially for DLSL in the afternoons and for DLCV in July 2018. If this is your case, fill in this form so we can have a seat for you to the introductory one, and register to DLSL.
Students at UPC but not in ETSETB: Contact the your academic office and request being allowed to take this course. If accepted, contact ETSETB academic office and request more details.
Mobility students: If your host institution has signed an agreement with UPC ETSETB Telecom BCN school, you can request a mobility from your host institution and sign up for the course under the same conditions as ETSETB students. Industry: Those industry members interested in the topic are encouraged to apply for the UPC School postgradute course on Artificial Intelligence with Deep Learning, running between February and July 2019.

Previous editions

Introduction to Deep Learning. UPC TelecomBCN. [2018] [2019]
Deep Learning for Artificial Intelligence. UPC TelecomBCN. [2017] [2018]
Deep Learning for Computer Vision UPC TelecomBCN. [2016] [2017] [2018] [2019]
Deep Learning for Speech and Language UPC TelecomBCN. [2017] [2018]
Deep Learning for Video. Master in Computer Vision Barcelona. [2018]
Deep Learning for Multimedia. Insight Dublin City University 2017. [2017] [2018]
Amaia Salvador and Santiago Pascual. “Hands on Keras and TensorFlow”. Persontyle 2017.
Santiago Pascual. “RNN & GANs in PyTorch”. UPC TelecomBCN 2017.