2nd International Summer School on Deep Learning
 23th — 27th July 2018, Genova, Italy 

Course Description

Keynotes

To be completed

19 Courses

To be completed
Pierre Baldi University of California, Irvine

Deep Learning: Theory, Algorithms, and Applications to the Natural Sciences

INTERMEDIATE/ADVANCED

Thomas Breuel NVIDIA Corporation

Design and Implementation of Deep Learning Applications

INTERMEDIATE

Joachim M. Buhmann Swiss Federal Institute of Technology Zurich

tba.


Li Deng Citadel

tba


Sergei V. Gleyzer University of Florida

Feature Extraction, End-end Deep Learning and Applications to Very Large Scientific Data: Rare Signal Extraction, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware

INTRODUCTORY/INTERMEDIATE

Michael Gschwind IBM Global Chief Data Office

Deploying Deep Learning at Enterprise Scale

INTRODUCTORY/INTERMEDIATE

Xiaodong He Microsoft Research

Deep Learning for Natural Language Processing and Language-Vision Multimodal Intelligence

INTERMEDIATE/ADVANCED

Namkug Kim Asan Medical Center

Deep Learning for Computer Aided Detection/Diagnosis in Radiology and Pathology

INTERMEDIATE

Li Erran Li Uber ATG

Deep Reinforcement Learning: Foundations, Recent Advances and Frontiers

INTERMEDIATE/ADVANCED

Dimitris N. Metaxas Rutgers University

Adversarial, Discriminative, Recurrent, and Scalable Deep Learning Methods for Human Motion Analytics, Medical Image Analysis, Scene Understanding and Image Generation

ADVANCED

Hermann Ney RWTH Aachen University

Speech Recognition and Machine Translation: From Statistical Decision Theory to Machine Learning and Deep Neural Networks

INTERMEDIATE/ADVANCED

Jose C. Principe University of Florida

Cognitive Architectures for Object Recognition in Video

INTRODUCTORY/ADVANCED

Björn Schuller Imperial College London

Deep Learning for Signal Analysis

INTERMEDIATE/ADVANCED

Ponnuthurai N Suganthan Nanyang Technological University

Learning Algorithms for Classification, Forecasting and Visual Tracking

INTRODUCTORY/INTERMEDIATE

Johan Suykens KU Leuven

Deep Learning and Kernel Machines

INTRODUCTORY/INTERMEDIATE

Kenji Suzuki Tokyo Institute of Technology

Deep Learning in Medical Image Processing, Analysis and Diagnosis

INTRODUCTORY/ADVANCED

Gökhan Tür Google Research

Deep Learning in Conversational AI

INTERMEDIATE/ADVANCED

Ming-Hsuan Yang University of California, Merced

Learning to Track Objects

INTERMEDIATE/ADVANCED

Yudong Zhang Nanjing Normal University

Convolutional Neural Network and Its Variants

INTRODUCTORY/INTERMEDIATE