UCA Deep Learning School 2017


Program Deep Learning @UCA Event 2017, From June 12th to 15th
• 3-hour Lectures/Tutorials in the morning (9 am – 12:30)
• Coffee break (around 10:30)
• Optional: Nvidia Lab sessions (2pm to 5pm)
• Coffee break (around 3:30pm)

For NVidia Labs, follow the software and hardware recommendations indicated on the link at the bottom of the page.

Location: Amphitheatre, Building Forum, Campus SophiaTech

 (Schedules and programs are subject to minor changes).


June 12th

Introduction to Deep Learning

    Lecture on Panorama du Deep Learning aujourd'hui: Stéphane Canu (Deep_In_France, INSA-Rouen)
    Lecture on Deep Learning Bases (Perceptron, MLP, backpropagation, etc): Frédéric Precioso (Deep_In_France, UCA)
    Introduction to Convolutional Neural Networks (CNN): Frédéric Precioso (Deep_In_France, UCA)

Image Classification with NVIDIA DIGITS
Level: Beginner | Prerequisites: None Industry: All
This lab shows you how to leverage deep neural networks (DNN) - specifically convolutional neural networks (CNN) - within the deep learning workflow to solve a real-world image classification problem using NVIDIA
Object Detection with NVIDIA DIGITS
Level: Beginner-Intermediate | Prerequisites: Image Classification with NVIDIA DIGITS Industry: All
This lab introduces students to one of four primary computer vision tasks - object detection - by trying three different approaches: sliding window, fully convolutional network (FCN), and DIGITS’ DetectNet network model in this lab

June 13th

Autoencoders and Restricted Boltzman Machines

Lecture on Autoencoders and Restricted Boltzman Machines: Soufiane Belharbi (Deep_In_France, INSA-Rouen)

Generative Adversarial Networks:
Mélanie Ducoffe (Deep_In_France, UCA)
Transfer learning with CNN: Soufiane Belharbi (Deep_In_France, INSA-Rouen)

Medical Image Segmentation with NVIDIA DIGITS

Level: Beginner | Prerequisites: None Industry: Healthcare
This lab explores various approaches to the problem of semantic image segmentation, which is a generalization of image classification where class predictions are made at the pixel level. We use the Sunnybrook Cardiac Data to train a neural network to learn to locate the left ventricle on MRI images.
Photo Editing with Generative Adversarial Networks with Tensorflow and DIGITS
Learn how to train a GAN to generate images of handwritten digits in DIGITS using the MNIST dataset, then apply them on the CelebA dataset of celebrity faces.

June 14th

Reccurrent Neural Networks

Lecture on Reccurrent Neural Networks:
Rémi Cadène (Deep_In_France, LIP6)

Visual Question Answering
: Rémi Cadène (Deep_In_France, LIP6)
Attention model pour image captioning: Jakob Verbeek (Deep_In_France, INRIA Rhone-Alpes)


Modelling Time Series Data with Recurrent Neural Networks in Keras
Level: Intermediate | Prerequisites: Some experience training CNNs Industry: Healthcare
One important area of current research is the use of deep neural networks to classify or forecast time-series data. Time-series data is produced in large volumes from sensors in a variety of application domains including Internet of Things (IoT), cyber security, data center management and medical patient care.

June 15th

Optimization for Deep Networks

Optimization for Deep Networks:
Mélanie Ducoffe/Soufiane Belharbi/Frédéric Precioso (Deep_In_France)

Convolutional neural fabrics: Jakob Verbeek (Deep_In_France, INRIA Rhone-Alpes)Active learning for Deep Nets: Mélanie Ducoffe (Deep_In_France, UCA)

Signal Processing Using NVIDIA DIGITS

Level: Beginner | Prerequisites: None Industry: All
This lab demonstrates how to process data from acoustic, seismic, radio, and radar sensors
Neural Network Deployment with NVIDIA DIGITS and TensorRT
Level: Beginner | Prerequisites: Image Classification Using NVIDIA DIGITS Industry: All

Access & Accommodation

Accommodation facilities for academic members:
The University provides student individual rooms and studios in Nice at very interesting prices.
Please visit the following site
Résidences ICARE - Crous de Nice-Toulon
For English version, go to Bottom of the page and click on Langage.

Special sessions

Poster sessions will be held during lunch time.
Submitted posters will be selected by DL@UCA scientific committee.
One free entrance to the DL event will be granted for one of the authors of each accepted poster.