"Deep Learning" training seminar

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12 December. 2019, 13:30, Julia House, 21612, CY1591, Themistokli Dervi 3, Nicosia 1066

"Deep Learning" Training Seminar

13:30 – 18:00 Thursday 12 December, Julia House


RISE offers a training seminar on Deep Learning. The training aims to give the basics of a subset of techniques of Machine Learning Algorithm called Deep Learning. It is organized as three presentations: the first gives the mathematical basics needed to understand the processes that happen inside a neural network and show the most common type of networks. The second presentation introduces the concept of recurrent neural network that deals with a sequence of data. The third part focuses on several examples that solve real problems.
 
Programme Details
Time Activity Description
13:15 Introduction  
13:30 Deep Learning Part 1 Linear Image Classifier
Neural Network Representation
Deep Neural Networks
Convolutional Neural Networks
CNN Example with Keras
Q&A
14:30 Break  
 
14:45 Deep Learning Part 2 Recursive Neural Network (and applications)
Hints of Generative Adversarial Networks
Q&A
 
16:15 Break
 
 
16:30 Hands-on Session Installation of the environment
Examples about different neural networks
Practicing with scripts
18:00 Training ends  
 
 
Registration
Please register here
 
Trainer
 
Daniele Giunchi is a Ph.D. candidate and researcher in Human-Computer Interaction (HCI) and visual perception at UCL.
He's working with Anthony Steed in virtual environments and computer graphics group's research. He developed deep learning models and tried to combine advanced forms of interaction and perception with deep learning algorithms.
He's studying deep reinforcement learning and interested in everything concerning machine learning, data analysis, and data visualization. In the past, he was involved in biomedical/scientific projects and aerospace & defense fields.
 
Contact details
If you have any further questions about the workshop, please email George Dimitriou, Education and Training Manager, at g.dimitriou@rise.org.cy
 


 

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